3939 lines
133 KiB
C
3939 lines
133 KiB
C
/*
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% %
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% %
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% %
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% QQQ U U AAA N N TTTTT IIIII ZZZZZ EEEEE %
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% Q Q U U A A NN N T I ZZ E %
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% Q Q U U AAAAA N N N T I ZZZ EEEEE %
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% Q QQ U U A A N NN T I ZZ E %
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% QQQQ UUU A A N N T IIIII ZZZZZ EEEEE %
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% %
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% %
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% MagickCore Methods to Reduce the Number of Unique Colors in an Image %
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% %
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% Software Design %
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% Cristy %
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% July 1992 %
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% %
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% %
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% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
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% dedicated to making software imaging solutions freely available. %
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% %
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% You may not use this file except in compliance with the License. You may %
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% obtain a copy of the License at %
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% %
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% https://imagemagick.org/script/license.php %
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% %
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% Unless required by applicable law or agreed to in writing, software %
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% distributed under the License is distributed on an "AS IS" BASIS, %
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% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
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% See the License for the specific language governing permissions and %
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% limitations under the License. %
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% %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% Realism in computer graphics typically requires using 24 bits/pixel to
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% generate an image. Yet many graphic display devices do not contain the
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% amount of memory necessary to match the spatial and color resolution of
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% the human eye. The Quantize methods takes a 24 bit image and reduces
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% the number of colors so it can be displayed on raster device with less
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% bits per pixel. In most instances, the quantized image closely
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% resembles the original reference image.
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%
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% A reduction of colors in an image is also desirable for image
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% transmission and real-time animation.
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%
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% QuantizeImage() takes a standard RGB or monochrome images and quantizes
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% them down to some fixed number of colors.
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%
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% For purposes of color allocation, an image is a set of n pixels, where
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% each pixel is a point in RGB space. RGB space is a 3-dimensional
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% vector space, and each pixel, Pi, is defined by an ordered triple of
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% red, green, and blue coordinates, (Ri, Gi, Bi).
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%
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% Each primary color component (red, green, or blue) represents an
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% intensity which varies linearly from 0 to a maximum value, Cmax, which
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% corresponds to full saturation of that color. Color allocation is
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% defined over a domain consisting of the cube in RGB space with opposite
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% vertices at (0,0,0) and (Cmax, Cmax, Cmax). QUANTIZE requires Cmax =
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% 255.
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%
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% The algorithm maps this domain onto a tree in which each node
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% represents a cube within that domain. In the following discussion
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% these cubes are defined by the coordinate of two opposite vertices (vertex
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% nearest the origin in RGB space and the vertex farthest from the origin).
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%
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% The tree's root node represents the entire domain, (0,0,0) through
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% (Cmax,Cmax,Cmax). Each lower level in the tree is generated by
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% subdividing one node's cube into eight smaller cubes of equal size.
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% This corresponds to bisecting the parent cube with planes passing
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% through the midpoints of each edge.
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%
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% The basic algorithm operates in three phases: Classification,
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% Reduction, and Assignment. Classification builds a color description
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% tree for the image. Reduction collapses the tree until the number it
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% represents, at most, the number of colors desired in the output image.
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% Assignment defines the output image's color map and sets each pixel's
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% color by restorage_class in the reduced tree. Our goal is to minimize
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% the numerical discrepancies between the original colors and quantized
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% colors (quantization error).
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%
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% Classification begins by initializing a color description tree of
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% sufficient depth to represent each possible input color in a leaf.
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% However, it is impractical to generate a fully-formed color description
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% tree in the storage_class phase for realistic values of Cmax. If
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% colors components in the input image are quantized to k-bit precision,
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% so that Cmax= 2k-1, the tree would need k levels below the root node to
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% allow representing each possible input color in a leaf. This becomes
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% prohibitive because the tree's total number of nodes is 1 +
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% sum(i=1, k, 8k).
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%
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% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
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% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
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% Initializes data structures for nodes only as they are needed; (2)
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% Chooses a maximum depth for the tree as a function of the desired
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% number of colors in the output image (currently log2(colormap size)).
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%
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% For each pixel in the input image, storage_class scans downward from
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% the root of the color description tree. At each level of the tree it
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% identifies the single node which represents a cube in RGB space
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% containing the pixel's color. It updates the following data for each
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% such node:
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%
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% n1: Number of pixels whose color is contained in the RGB cube which
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% this node represents;
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%
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% n2: Number of pixels whose color is not represented in a node at
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% lower depth in the tree; initially, n2 = 0 for all nodes except
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% leaves of the tree.
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%
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% Sr, Sg, Sb: Sums of the red, green, and blue component values for all
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% pixels not classified at a lower depth. The combination of these sums
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% and n2 will ultimately characterize the mean color of a set of pixels
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% represented by this node.
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%
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% E: the distance squared in RGB space between each pixel contained
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% within a node and the nodes' center. This represents the
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% quantization error for a node.
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%
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% Reduction repeatedly prunes the tree until the number of nodes with n2
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% > 0 is less than or equal to the maximum number of colors allowed in
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% the output image. On any given iteration over the tree, it selects
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% those nodes whose E count is minimal for pruning and merges their color
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% statistics upward. It uses a pruning threshold, Ep, to govern node
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% selection as follows:
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%
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% Ep = 0
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% while number of nodes with (n2 > 0) > required maximum number of colors
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% prune all nodes such that E <= Ep
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% Set Ep to minimum E in remaining nodes
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%
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% This has the effect of minimizing any quantization error when merging
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% two nodes together.
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%
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% When a node to be pruned has offspring, the pruning procedure invokes
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% itself recursively in order to prune the tree from the leaves upward.
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% n2, Sr, Sg, and Sb in a node being pruned are always added to the
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% corresponding data in that node's parent. This retains the pruned
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% node's color characteristics for later averaging.
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%
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% For each node, n2 pixels exist for which that node represents the
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% smallest volume in RGB space containing those pixel's colors. When n2
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% > 0 the node will uniquely define a color in the output image. At the
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% beginning of reduction, n2 = 0 for all nodes except a the leaves of
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% the tree which represent colors present in the input image.
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%
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% The other pixel count, n1, indicates the total number of colors within
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% the cubic volume which the node represents. This includes n1 - n2
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% pixels whose colors should be defined by nodes at a lower level in the
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% tree.
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%
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% Assignment generates the output image from the pruned tree. The output
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% image consists of two parts: (1) A color map, which is an array of
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% color descriptions (RGB triples) for each color present in the output
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% image; (2) A pixel array, which represents each pixel as an index
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% into the color map array.
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%
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% First, the assignment phase makes one pass over the pruned color
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% description tree to establish the image's color map. For each node
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% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
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% color of all pixels that classify no lower than this node. Each of
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% these colors becomes an entry in the color map.
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%
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% Finally, the assignment phase reclassifies each pixel in the pruned
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% tree to identify the deepest node containing the pixel's color. The
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% pixel's value in the pixel array becomes the index of this node's mean
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% color in the color map.
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%
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% This method is based on a similar algorithm written by Paul Raveling.
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%
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*/
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/*
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Include declarations.
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*/
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#include "MagickCore/studio.h"
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#include "MagickCore/artifact.h"
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#include "MagickCore/attribute.h"
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#include "MagickCore/cache-view.h"
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#include "MagickCore/color.h"
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#include "MagickCore/color-private.h"
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#include "MagickCore/colormap.h"
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#include "MagickCore/colorspace.h"
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#include "MagickCore/colorspace-private.h"
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#include "MagickCore/compare.h"
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#include "MagickCore/enhance.h"
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#include "MagickCore/exception.h"
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#include "MagickCore/exception-private.h"
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#include "MagickCore/histogram.h"
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#include "MagickCore/image.h"
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#include "MagickCore/image-private.h"
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#include "MagickCore/list.h"
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#include "MagickCore/memory_.h"
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#include "MagickCore/memory-private.h"
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#include "MagickCore/monitor.h"
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#include "MagickCore/monitor-private.h"
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#include "MagickCore/option.h"
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#include "MagickCore/pixel-accessor.h"
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#include "MagickCore/pixel-private.h"
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#include "MagickCore/quantize.h"
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#include "MagickCore/quantum.h"
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#include "MagickCore/quantum-private.h"
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#include "MagickCore/random_.h"
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#include "MagickCore/resource_.h"
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#include "MagickCore/string_.h"
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#include "MagickCore/string-private.h"
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#include "MagickCore/thread-private.h"
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/*
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Define declarations.
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*/
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#if !defined(__APPLE__) && !defined(TARGET_OS_IPHONE)
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#define CacheShift 2
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#else
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#define CacheShift 3
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#endif
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#define ErrorQueueLength 16
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#define MaxNodes 266817
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#define MaxTreeDepth 8
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#define NodesInAList 1920
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/*
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Typdef declarations.
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*/
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typedef struct _DoublePixelPacket
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{
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double
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red,
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green,
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blue,
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alpha;
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} DoublePixelPacket;
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typedef struct _NodeInfo
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{
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struct _NodeInfo
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*parent,
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*child[16];
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MagickSizeType
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number_unique;
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DoublePixelPacket
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total_color;
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double
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quantize_error;
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size_t
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color_number,
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id,
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level;
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} NodeInfo;
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typedef struct _Nodes
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{
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NodeInfo
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*nodes;
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struct _Nodes
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*next;
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} Nodes;
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typedef struct _CubeInfo
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{
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NodeInfo
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*root;
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size_t
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colors,
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maximum_colors;
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ssize_t
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transparent_index;
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MagickSizeType
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transparent_pixels;
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DoublePixelPacket
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target;
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double
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distance,
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pruning_threshold,
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next_threshold;
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size_t
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nodes,
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free_nodes,
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color_number;
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NodeInfo
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*next_node;
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Nodes
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*node_queue;
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MemoryInfo
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*memory_info;
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ssize_t
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*cache;
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DoublePixelPacket
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error[ErrorQueueLength];
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double
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weights[ErrorQueueLength];
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QuantizeInfo
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*quantize_info;
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MagickBooleanType
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associate_alpha;
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ssize_t
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x,
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y;
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||
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size_t
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depth;
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||
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MagickOffsetType
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offset;
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||
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MagickSizeType
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span;
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} CubeInfo;
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/*
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Method prototypes.
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*/
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static CubeInfo
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*GetCubeInfo(const QuantizeInfo *,const size_t,const size_t);
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static NodeInfo
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*GetNodeInfo(CubeInfo *,const size_t,const size_t,NodeInfo *);
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static MagickBooleanType
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AssignImageColors(Image *,CubeInfo *,ExceptionInfo *),
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ClassifyImageColors(CubeInfo *,const Image *,ExceptionInfo *),
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DitherImage(Image *,CubeInfo *,ExceptionInfo *),
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SetGrayscaleImage(Image *,ExceptionInfo *),
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SetImageColormap(Image *,CubeInfo *,ExceptionInfo *);
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static void
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ClosestColor(const Image *,CubeInfo *,const NodeInfo *),
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DefineImageColormap(Image *,CubeInfo *,NodeInfo *),
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DestroyCubeInfo(CubeInfo *),
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PruneLevel(CubeInfo *,const NodeInfo *),
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PruneToCubeDepth(CubeInfo *,const NodeInfo *),
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ReduceImageColors(const Image *,CubeInfo *);
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/*
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% %
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% %
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% %
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% A c q u i r e Q u a n t i z e I n f o %
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% %
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||
% %
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||
% %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% AcquireQuantizeInfo() allocates the QuantizeInfo structure.
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%
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% The format of the AcquireQuantizeInfo method is:
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%
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% QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
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%
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% A description of each parameter follows:
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%
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% o image_info: the image info.
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%
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*/
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MagickExport QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
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{
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QuantizeInfo
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*quantize_info;
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quantize_info=(QuantizeInfo *) AcquireCriticalMemory(sizeof(*quantize_info));
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GetQuantizeInfo(quantize_info);
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if (image_info != (ImageInfo *) NULL)
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{
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const char
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*option;
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quantize_info->dither_method=image_info->dither == MagickFalse ?
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NoDitherMethod : RiemersmaDitherMethod;
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option=GetImageOption(image_info,"dither");
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if (option != (const char *) NULL)
|
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quantize_info->dither_method=(DitherMethod) ParseCommandOption(
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MagickDitherOptions,MagickFalse,option);
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quantize_info->measure_error=image_info->verbose;
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||
}
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return(quantize_info);
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||
}
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||
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||
/*
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||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% %
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||
% %
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||
% %
|
||
+ A s s i g n I m a g e C o l o r s %
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||
% %
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||
% %
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||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
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% AssignImageColors() generates the output image from the pruned tree. The
|
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% output image consists of two parts: (1) A color map, which is an array
|
||
% of color descriptions (RGB triples) for each color present in the
|
||
% output image; (2) A pixel array, which represents each pixel as an
|
||
% index into the color map array.
|
||
%
|
||
% First, the assignment phase makes one pass over the pruned color
|
||
% description tree to establish the image's color map. For each node
|
||
% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
|
||
% color of all pixels that classify no lower than this node. Each of
|
||
% these colors becomes an entry in the color map.
|
||
%
|
||
% Finally, the assignment phase reclassifies each pixel in the pruned
|
||
% tree to identify the deepest node containing the pixel's color. The
|
||
% pixel's value in the pixel array becomes the index of this node's mean
|
||
% color in the color map.
|
||
%
|
||
% The format of the AssignImageColors() method is:
|
||
%
|
||
% MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
*/
|
||
|
||
static inline void AssociateAlphaPixel(const Image *image,
|
||
const CubeInfo *cube_info,const Quantum *pixel,DoublePixelPacket *alpha_pixel)
|
||
{
|
||
double
|
||
alpha;
|
||
|
||
if ((cube_info->associate_alpha == MagickFalse) ||
|
||
(GetPixelAlpha(image,pixel) == OpaqueAlpha))
|
||
{
|
||
alpha_pixel->red=(double) GetPixelRed(image,pixel);
|
||
alpha_pixel->green=(double) GetPixelGreen(image,pixel);
|
||
alpha_pixel->blue=(double) GetPixelBlue(image,pixel);
|
||
alpha_pixel->alpha=(double) GetPixelAlpha(image,pixel);
|
||
return;
|
||
}
|
||
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixel));
|
||
alpha_pixel->red=alpha*GetPixelRed(image,pixel);
|
||
alpha_pixel->green=alpha*GetPixelGreen(image,pixel);
|
||
alpha_pixel->blue=alpha*GetPixelBlue(image,pixel);
|
||
alpha_pixel->alpha=(double) GetPixelAlpha(image,pixel);
|
||
}
|
||
|
||
static inline void AssociateAlphaPixelInfo(const CubeInfo *cube_info,
|
||
const PixelInfo *pixel,DoublePixelPacket *alpha_pixel)
|
||
{
|
||
double
|
||
alpha;
|
||
|
||
if ((cube_info->associate_alpha == MagickFalse) ||
|
||
(pixel->alpha == OpaqueAlpha))
|
||
{
|
||
alpha_pixel->red=(double) pixel->red;
|
||
alpha_pixel->green=(double) pixel->green;
|
||
alpha_pixel->blue=(double) pixel->blue;
|
||
alpha_pixel->alpha=(double) pixel->alpha;
|
||
return;
|
||
}
|
||
alpha=(double) (QuantumScale*pixel->alpha);
|
||
alpha_pixel->red=alpha*pixel->red;
|
||
alpha_pixel->green=alpha*pixel->green;
|
||
alpha_pixel->blue=alpha*pixel->blue;
|
||
alpha_pixel->alpha=(double) pixel->alpha;
|
||
}
|
||
|
||
static inline size_t ColorToNodeId(const CubeInfo *cube_info,
|
||
const DoublePixelPacket *pixel,size_t index)
|
||
{
|
||
size_t
|
||
id;
|
||
|
||
id=(size_t) (((ScaleQuantumToChar(ClampPixel(pixel->red)) >> index) & 0x01) |
|
||
((ScaleQuantumToChar(ClampPixel(pixel->green)) >> index) & 0x01) << 1 |
|
||
((ScaleQuantumToChar(ClampPixel(pixel->blue)) >> index) & 0x01) << 2);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
id|=((ScaleQuantumToChar(ClampPixel(pixel->alpha)) >> index) & 0x1) << 3;
|
||
return(id);
|
||
}
|
||
|
||
static MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define AssignImageTag "Assign/Image"
|
||
|
||
ColorspaceType
|
||
colorspace;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
/*
|
||
Allocate image colormap.
|
||
*/
|
||
colorspace=image->colorspace;
|
||
if (cube_info->quantize_info->colorspace != UndefinedColorspace)
|
||
(void) TransformImageColorspace(image,cube_info->quantize_info->colorspace,
|
||
exception);
|
||
cube_info->transparent_pixels=0;
|
||
cube_info->transparent_index=(-1);
|
||
if (SetImageColormap(image,cube_info,exception) == MagickFalse)
|
||
return(MagickFalse);
|
||
/*
|
||
Create a reduced color image.
|
||
*/
|
||
if (cube_info->quantize_info->dither_method != NoDitherMethod)
|
||
(void) DitherImage(image,cube_info,exception);
|
||
else
|
||
{
|
||
CacheView
|
||
*image_view;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
status=MagickTrue;
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(status) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
CubeInfo
|
||
cube;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
ssize_t
|
||
count;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
|
||
exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
cube=(*cube_info);
|
||
for (x=0; x < (ssize_t) image->columns; x+=count)
|
||
{
|
||
DoublePixelPacket
|
||
pixel;
|
||
|
||
const NodeInfo
|
||
*node_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
id,
|
||
index;
|
||
|
||
/*
|
||
Identify the deepest node containing the pixel's color.
|
||
*/
|
||
for (count=1; (x+count) < (ssize_t) image->columns; count++)
|
||
{
|
||
PixelInfo
|
||
packet;
|
||
|
||
GetPixelInfoPixel(image,q+count*GetPixelChannels(image),&packet);
|
||
if (IsPixelEquivalent(image,q,&packet) == MagickFalse)
|
||
break;
|
||
}
|
||
AssociateAlphaPixel(image,&cube,q,&pixel);
|
||
node_info=cube.root;
|
||
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
|
||
{
|
||
id=ColorToNodeId(&cube,&pixel,index);
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
break;
|
||
node_info=node_info->child[id];
|
||
}
|
||
/*
|
||
Find closest color among siblings and their children.
|
||
*/
|
||
cube.target=pixel;
|
||
cube.distance=(double) (4.0*(QuantumRange+1.0)*(QuantumRange+1.0)+
|
||
1.0);
|
||
ClosestColor(image,&cube,node_info->parent);
|
||
index=cube.color_number;
|
||
for (i=0; i < (ssize_t) count; i++)
|
||
{
|
||
if (image->storage_class == PseudoClass)
|
||
SetPixelIndex(image,(Quantum) index,q);
|
||
if (cube.quantize_info->measure_error == MagickFalse)
|
||
{
|
||
SetPixelRed(image,ClampToQuantum(
|
||
image->colormap[index].red),q);
|
||
SetPixelGreen(image,ClampToQuantum(
|
||
image->colormap[index].green),q);
|
||
SetPixelBlue(image,ClampToQuantum(
|
||
image->colormap[index].blue),q);
|
||
if (cube.associate_alpha != MagickFalse)
|
||
SetPixelAlpha(image,ClampToQuantum(
|
||
image->colormap[index].alpha),q);
|
||
}
|
||
q+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) y,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
}
|
||
if (cube_info->quantize_info->measure_error != MagickFalse)
|
||
(void) GetImageQuantizeError(image,exception);
|
||
if ((cube_info->quantize_info->number_colors == 2) &&
|
||
((cube_info->quantize_info->colorspace == LinearGRAYColorspace) ||
|
||
(cube_info->quantize_info->colorspace == GRAYColorspace)))
|
||
{
|
||
double
|
||
intensity;
|
||
|
||
/*
|
||
Monochrome image.
|
||
*/
|
||
intensity=GetPixelInfoLuma(image->colormap+0) < QuantumRange/2.0 ? 0.0 :
|
||
QuantumRange;
|
||
if (image->colors > 1)
|
||
{
|
||
intensity=0.0;
|
||
if (GetPixelInfoLuma(image->colormap+0) >
|
||
GetPixelInfoLuma(image->colormap+1))
|
||
intensity=(double) QuantumRange;
|
||
}
|
||
image->colormap[0].red=intensity;
|
||
image->colormap[0].green=intensity;
|
||
image->colormap[0].blue=intensity;
|
||
if (image->colors > 1)
|
||
{
|
||
image->colormap[1].red=(double) QuantumRange-intensity;
|
||
image->colormap[1].green=(double) QuantumRange-intensity;
|
||
image->colormap[1].blue=(double) QuantumRange-intensity;
|
||
}
|
||
}
|
||
(void) SyncImage(image,exception);
|
||
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
|
||
(IssRGBCompatibleColorspace(colorspace) == MagickFalse))
|
||
(void) TransformImageColorspace(image,colorspace,exception);
|
||
return(MagickTrue);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ C l a s s i f y I m a g e C o l o r s %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% ClassifyImageColors() begins by initializing a color description tree
|
||
% of sufficient depth to represent each possible input color in a leaf.
|
||
% However, it is impractical to generate a fully-formed color
|
||
% description tree in the storage_class phase for realistic values of
|
||
% Cmax. If colors components in the input image are quantized to k-bit
|
||
% precision, so that Cmax= 2k-1, the tree would need k levels below the
|
||
% root node to allow representing each possible input color in a leaf.
|
||
% This becomes prohibitive because the tree's total number of nodes is
|
||
% 1 + sum(i=1,k,8k).
|
||
%
|
||
% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
|
||
% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
|
||
% Initializes data structures for nodes only as they are needed; (2)
|
||
% Chooses a maximum depth for the tree as a function of the desired
|
||
% number of colors in the output image (currently log2(colormap size)).
|
||
%
|
||
% For each pixel in the input image, storage_class scans downward from
|
||
% the root of the color description tree. At each level of the tree it
|
||
% identifies the single node which represents a cube in RGB space
|
||
% containing It updates the following data for each such node:
|
||
%
|
||
% n1 : Number of pixels whose color is contained in the RGB cube
|
||
% which this node represents;
|
||
%
|
||
% n2 : Number of pixels whose color is not represented in a node at
|
||
% lower depth in the tree; initially, n2 = 0 for all nodes except
|
||
% leaves of the tree.
|
||
%
|
||
% Sr, Sg, Sb : Sums of the red, green, and blue component values for
|
||
% all pixels not classified at a lower depth. The combination of
|
||
% these sums and n2 will ultimately characterize the mean color of a
|
||
% set of pixels represented by this node.
|
||
%
|
||
% E: the distance squared in RGB space between each pixel contained
|
||
% within a node and the nodes' center. This represents the quantization
|
||
% error for a node.
|
||
%
|
||
% The format of the ClassifyImageColors() method is:
|
||
%
|
||
% MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
|
||
% const Image *image,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
*/
|
||
|
||
static inline void SetAssociatedAlpha(const Image *image,CubeInfo *cube_info)
|
||
{
|
||
MagickBooleanType
|
||
associate_alpha;
|
||
|
||
associate_alpha=image->alpha_trait == BlendPixelTrait ? MagickTrue :
|
||
MagickFalse;
|
||
if ((cube_info->quantize_info->number_colors == 2) &&
|
||
((cube_info->quantize_info->colorspace == LinearGRAYColorspace) ||
|
||
(cube_info->quantize_info->colorspace == GRAYColorspace)))
|
||
associate_alpha=MagickFalse;
|
||
cube_info->associate_alpha=associate_alpha;
|
||
}
|
||
|
||
static MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
|
||
const Image *image,ExceptionInfo *exception)
|
||
{
|
||
#define ClassifyImageTag "Classify/Image"
|
||
|
||
CacheView
|
||
*image_view;
|
||
|
||
DoublePixelPacket
|
||
error,
|
||
mid,
|
||
midpoint,
|
||
pixel;
|
||
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
double
|
||
bisect;
|
||
|
||
NodeInfo
|
||
*node_info;
|
||
|
||
size_t
|
||
count,
|
||
id,
|
||
index,
|
||
level;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
/*
|
||
Classify the first cube_info->maximum_colors colors to a tree depth of 8.
|
||
*/
|
||
SetAssociatedAlpha(image,cube_info);
|
||
if (cube_info->quantize_info->colorspace != image->colorspace)
|
||
{
|
||
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
|
||
(cube_info->quantize_info->colorspace != CMYKColorspace))
|
||
(void) TransformImageColorspace((Image *) image,
|
||
cube_info->quantize_info->colorspace,exception);
|
||
else
|
||
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
|
||
(void) TransformImageColorspace((Image *) image,sRGBColorspace,
|
||
exception);
|
||
}
|
||
midpoint.red=(double) QuantumRange/2.0;
|
||
midpoint.green=(double) QuantumRange/2.0;
|
||
midpoint.blue=(double) QuantumRange/2.0;
|
||
midpoint.alpha=(double) QuantumRange/2.0;
|
||
error.alpha=0.0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
if (cube_info->nodes > MaxNodes)
|
||
{
|
||
/*
|
||
Prune one level if the color tree is too large.
|
||
*/
|
||
PruneLevel(cube_info,cube_info->root);
|
||
cube_info->depth--;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
|
||
{
|
||
/*
|
||
Start at the root and descend the color cube tree.
|
||
*/
|
||
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
|
||
{
|
||
PixelInfo
|
||
packet;
|
||
|
||
GetPixelInfoPixel(image,p+count*GetPixelChannels(image),&packet);
|
||
if (IsPixelEquivalent(image,p,&packet) == MagickFalse)
|
||
break;
|
||
}
|
||
AssociateAlphaPixel(image,cube_info,p,&pixel);
|
||
index=MaxTreeDepth-1;
|
||
bisect=((double) QuantumRange+1.0)/2.0;
|
||
mid=midpoint;
|
||
node_info=cube_info->root;
|
||
for (level=1; level <= MaxTreeDepth; level++)
|
||
{
|
||
double
|
||
distance;
|
||
|
||
bisect*=0.5;
|
||
id=ColorToNodeId(cube_info,&pixel,index);
|
||
mid.red+=(id & 1) != 0 ? bisect : -bisect;
|
||
mid.green+=(id & 2) != 0 ? bisect : -bisect;
|
||
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
|
||
mid.alpha+=(id & 8) != 0 ? bisect : -bisect;
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
{
|
||
/*
|
||
Set colors of new node to contain pixel.
|
||
*/
|
||
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
{
|
||
(void) ThrowMagickException(exception,GetMagickModule(),
|
||
ResourceLimitError,"MemoryAllocationFailed","`%s'",
|
||
image->filename);
|
||
continue;
|
||
}
|
||
if (level == MaxTreeDepth)
|
||
cube_info->colors++;
|
||
}
|
||
/*
|
||
Approximate the quantization error represented by this node.
|
||
*/
|
||
node_info=node_info->child[id];
|
||
error.red=QuantumScale*(pixel.red-mid.red);
|
||
error.green=QuantumScale*(pixel.green-mid.green);
|
||
error.blue=QuantumScale*(pixel.blue-mid.blue);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
error.alpha=QuantumScale*(pixel.alpha-mid.alpha);
|
||
distance=(double) (error.red*error.red+error.green*error.green+
|
||
error.blue*error.blue+error.alpha*error.alpha);
|
||
if (IsNaN(distance) != 0)
|
||
distance=0.0;
|
||
node_info->quantize_error+=count*sqrt(distance);
|
||
cube_info->root->quantize_error+=node_info->quantize_error;
|
||
index--;
|
||
}
|
||
/*
|
||
Sum RGB for this leaf for later derivation of the mean cube color.
|
||
*/
|
||
node_info->number_unique+=count;
|
||
node_info->total_color.red+=count*QuantumScale*ClampPixel(pixel.red);
|
||
node_info->total_color.green+=count*QuantumScale*ClampPixel(pixel.green);
|
||
node_info->total_color.blue+=count*QuantumScale*ClampPixel(pixel.blue);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
node_info->total_color.alpha+=count*QuantumScale*
|
||
ClampPixel(pixel.alpha);
|
||
else
|
||
node_info->total_color.alpha+=count*QuantumScale*
|
||
ClampPixel((MagickRealType) OpaqueAlpha);
|
||
p+=count*GetPixelChannels(image);
|
||
}
|
||
if (cube_info->colors > cube_info->maximum_colors)
|
||
{
|
||
PruneToCubeDepth(cube_info,cube_info->root);
|
||
break;
|
||
}
|
||
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
}
|
||
for (y++; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
if (cube_info->nodes > MaxNodes)
|
||
{
|
||
/*
|
||
Prune one level if the color tree is too large.
|
||
*/
|
||
PruneLevel(cube_info,cube_info->root);
|
||
cube_info->depth--;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
|
||
{
|
||
/*
|
||
Start at the root and descend the color cube tree.
|
||
*/
|
||
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
|
||
{
|
||
PixelInfo
|
||
packet;
|
||
|
||
GetPixelInfoPixel(image,p+count*GetPixelChannels(image),&packet);
|
||
if (IsPixelEquivalent(image,p,&packet) == MagickFalse)
|
||
break;
|
||
}
|
||
AssociateAlphaPixel(image,cube_info,p,&pixel);
|
||
index=MaxTreeDepth-1;
|
||
bisect=((double) QuantumRange+1.0)/2.0;
|
||
mid=midpoint;
|
||
node_info=cube_info->root;
|
||
for (level=1; level <= cube_info->depth; level++)
|
||
{
|
||
double
|
||
distance;
|
||
|
||
bisect*=0.5;
|
||
id=ColorToNodeId(cube_info,&pixel,index);
|
||
mid.red+=(id & 1) != 0 ? bisect : -bisect;
|
||
mid.green+=(id & 2) != 0 ? bisect : -bisect;
|
||
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
|
||
mid.alpha+=(id & 8) != 0 ? bisect : -bisect;
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
{
|
||
/*
|
||
Set colors of new node to contain pixel.
|
||
*/
|
||
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
{
|
||
(void) ThrowMagickException(exception,GetMagickModule(),
|
||
ResourceLimitError,"MemoryAllocationFailed","%s",
|
||
image->filename);
|
||
continue;
|
||
}
|
||
if (level == cube_info->depth)
|
||
cube_info->colors++;
|
||
}
|
||
/*
|
||
Approximate the quantization error represented by this node.
|
||
*/
|
||
node_info=node_info->child[id];
|
||
error.red=QuantumScale*(pixel.red-mid.red);
|
||
error.green=QuantumScale*(pixel.green-mid.green);
|
||
error.blue=QuantumScale*(pixel.blue-mid.blue);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
error.alpha=QuantumScale*(pixel.alpha-mid.alpha);
|
||
distance=(double) (error.red*error.red+error.green*error.green+
|
||
error.blue*error.blue+error.alpha*error.alpha);
|
||
if (IsNaN(distance) != 0)
|
||
distance=0.0;
|
||
node_info->quantize_error+=count*sqrt(distance);
|
||
cube_info->root->quantize_error+=node_info->quantize_error;
|
||
index--;
|
||
}
|
||
/*
|
||
Sum RGB for this leaf for later derivation of the mean cube color.
|
||
*/
|
||
node_info->number_unique+=count;
|
||
node_info->total_color.red+=count*QuantumScale*ClampPixel(pixel.red);
|
||
node_info->total_color.green+=count*QuantumScale*ClampPixel(pixel.green);
|
||
node_info->total_color.blue+=count*QuantumScale*ClampPixel(pixel.blue);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
node_info->total_color.alpha+=count*QuantumScale*
|
||
ClampPixel(pixel.alpha);
|
||
else
|
||
node_info->total_color.alpha+=count*QuantumScale*
|
||
ClampPixel((MagickRealType) OpaqueAlpha);
|
||
p+=count*GetPixelChannels(image);
|
||
}
|
||
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
if (cube_info->quantize_info->colorspace != image->colorspace)
|
||
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
|
||
(cube_info->quantize_info->colorspace != CMYKColorspace))
|
||
(void) TransformImageColorspace((Image *) image,sRGBColorspace,exception);
|
||
return(y < (ssize_t) image->rows ? MagickFalse : MagickTrue);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% C l o n e Q u a n t i z e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% CloneQuantizeInfo() makes a duplicate of the given quantize info structure,
|
||
% or if quantize info is NULL, a new one.
|
||
%
|
||
% The format of the CloneQuantizeInfo method is:
|
||
%
|
||
% QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o clone_info: Method CloneQuantizeInfo returns a duplicate of the given
|
||
% quantize info, or if image info is NULL a new one.
|
||
%
|
||
% o quantize_info: a structure of type info.
|
||
%
|
||
*/
|
||
MagickExport QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
|
||
{
|
||
QuantizeInfo
|
||
*clone_info;
|
||
|
||
clone_info=(QuantizeInfo *) AcquireCriticalMemory(sizeof(*clone_info));
|
||
GetQuantizeInfo(clone_info);
|
||
if (quantize_info == (QuantizeInfo *) NULL)
|
||
return(clone_info);
|
||
clone_info->number_colors=quantize_info->number_colors;
|
||
clone_info->tree_depth=quantize_info->tree_depth;
|
||
clone_info->dither_method=quantize_info->dither_method;
|
||
clone_info->colorspace=quantize_info->colorspace;
|
||
clone_info->measure_error=quantize_info->measure_error;
|
||
return(clone_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ C l o s e s t C o l o r %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% ClosestColor() traverses the color cube tree at a particular node and
|
||
% determines which colormap entry best represents the input color.
|
||
%
|
||
% The format of the ClosestColor method is:
|
||
%
|
||
% void ClosestColor(const Image *image,CubeInfo *cube_info,
|
||
% const NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: the address of a structure of type NodeInfo which points to a
|
||
% node in the color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void ClosestColor(const Image *image,CubeInfo *cube_info,
|
||
const NodeInfo *node_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
ClosestColor(image,cube_info,node_info->child[i]);
|
||
if (node_info->number_unique != 0)
|
||
{
|
||
double
|
||
pixel;
|
||
|
||
double
|
||
alpha,
|
||
beta,
|
||
distance;
|
||
|
||
DoublePixelPacket
|
||
*magick_restrict q;
|
||
|
||
PixelInfo
|
||
*magick_restrict p;
|
||
|
||
/*
|
||
Determine if this color is "closest".
|
||
*/
|
||
p=image->colormap+node_info->color_number;
|
||
q=(&cube_info->target);
|
||
alpha=1.0;
|
||
beta=1.0;
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
{
|
||
alpha=(double) (QuantumScale*p->alpha);
|
||
beta=(double) (QuantumScale*q->alpha);
|
||
}
|
||
pixel=alpha*p->red-beta*q->red;
|
||
distance=pixel*pixel;
|
||
if (distance <= cube_info->distance)
|
||
{
|
||
pixel=alpha*p->green-beta*q->green;
|
||
distance+=pixel*pixel;
|
||
if (distance <= cube_info->distance)
|
||
{
|
||
pixel=alpha*p->blue-beta*q->blue;
|
||
distance+=pixel*pixel;
|
||
if (distance <= cube_info->distance)
|
||
{
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
{
|
||
pixel=p->alpha-q->alpha;
|
||
distance+=pixel*pixel;
|
||
}
|
||
if (distance <= cube_info->distance)
|
||
{
|
||
cube_info->distance=distance;
|
||
cube_info->color_number=node_info->color_number;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% C o m p r e s s I m a g e C o l o r m a p %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% CompressImageColormap() compresses an image colormap by removing any
|
||
% duplicate or unused color entries.
|
||
%
|
||
% The format of the CompressImageColormap method is:
|
||
%
|
||
% MagickBooleanType CompressImageColormap(Image *image,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType CompressImageColormap(Image *image,
|
||
ExceptionInfo *exception)
|
||
{
|
||
QuantizeInfo
|
||
quantize_info;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
if (IsPaletteImage(image) == MagickFalse)
|
||
return(MagickFalse);
|
||
GetQuantizeInfo(&quantize_info);
|
||
quantize_info.number_colors=image->colors;
|
||
quantize_info.tree_depth=MaxTreeDepth;
|
||
return(QuantizeImage(&quantize_info,image,exception));
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ D e f i n e I m a g e C o l o r m a p %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% DefineImageColormap() traverses the color cube tree and notes each colormap
|
||
% entry. A colormap entry is any node in the color cube tree where the
|
||
% of unique colors is not zero.
|
||
%
|
||
% The format of the DefineImageColormap method is:
|
||
%
|
||
% void DefineImageColormap(Image *image,CubeInfo *cube_info,
|
||
% NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: the address of a structure of type NodeInfo which points to a
|
||
% node in the color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void DefineImageColormap(Image *image,CubeInfo *cube_info,
|
||
NodeInfo *node_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
DefineImageColormap(image,cube_info,node_info->child[i]);
|
||
if (node_info->number_unique != 0)
|
||
{
|
||
double
|
||
alpha;
|
||
|
||
PixelInfo
|
||
*magick_restrict q;
|
||
|
||
/*
|
||
Colormap entry is defined by the mean color in this cube.
|
||
*/
|
||
q=image->colormap+image->colors;
|
||
alpha=(double) ((MagickOffsetType) node_info->number_unique);
|
||
alpha=PerceptibleReciprocal(alpha);
|
||
if (cube_info->associate_alpha == MagickFalse)
|
||
{
|
||
q->red=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.red);
|
||
q->green=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.green);
|
||
q->blue=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.blue);
|
||
q->alpha=(double) OpaqueAlpha;
|
||
}
|
||
else
|
||
{
|
||
double
|
||
opacity;
|
||
|
||
opacity=(double) (alpha*QuantumRange*node_info->total_color.alpha);
|
||
q->alpha=(double) ClampToQuantum(opacity);
|
||
if (q->alpha == OpaqueAlpha)
|
||
{
|
||
q->red=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.red);
|
||
q->green=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.green);
|
||
q->blue=(double) ClampToQuantum(alpha*QuantumRange*
|
||
node_info->total_color.blue);
|
||
}
|
||
else
|
||
{
|
||
double
|
||
gamma;
|
||
|
||
gamma=(double) (QuantumScale*q->alpha);
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
q->red=(double) ClampToQuantum(alpha*gamma*QuantumRange*
|
||
node_info->total_color.red);
|
||
q->green=(double) ClampToQuantum(alpha*gamma*QuantumRange*
|
||
node_info->total_color.green);
|
||
q->blue=(double) ClampToQuantum(alpha*gamma*QuantumRange*
|
||
node_info->total_color.blue);
|
||
if (node_info->number_unique > cube_info->transparent_pixels)
|
||
{
|
||
cube_info->transparent_pixels=node_info->number_unique;
|
||
cube_info->transparent_index=(ssize_t) image->colors;
|
||
}
|
||
}
|
||
}
|
||
node_info->color_number=image->colors++;
|
||
}
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ D e s t r o y C u b e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% DestroyCubeInfo() deallocates memory associated with an image.
|
||
%
|
||
% The format of the DestroyCubeInfo method is:
|
||
%
|
||
% DestroyCubeInfo(CubeInfo *cube_info)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o cube_info: the address of a structure of type CubeInfo.
|
||
%
|
||
*/
|
||
static void DestroyCubeInfo(CubeInfo *cube_info)
|
||
{
|
||
Nodes
|
||
*nodes;
|
||
|
||
/*
|
||
Release color cube tree storage.
|
||
*/
|
||
do
|
||
{
|
||
nodes=cube_info->node_queue->next;
|
||
cube_info->node_queue->nodes=(NodeInfo *) RelinquishMagickMemory(
|
||
cube_info->node_queue->nodes);
|
||
cube_info->node_queue=(Nodes *) RelinquishMagickMemory(
|
||
cube_info->node_queue);
|
||
cube_info->node_queue=nodes;
|
||
} while (cube_info->node_queue != (Nodes *) NULL);
|
||
if (cube_info->memory_info != (MemoryInfo *) NULL)
|
||
cube_info->memory_info=RelinquishVirtualMemory(cube_info->memory_info);
|
||
cube_info->quantize_info=DestroyQuantizeInfo(cube_info->quantize_info);
|
||
cube_info=(CubeInfo *) RelinquishMagickMemory(cube_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% D e s t r o y Q u a n t i z e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% DestroyQuantizeInfo() deallocates memory associated with an QuantizeInfo
|
||
% structure.
|
||
%
|
||
% The format of the DestroyQuantizeInfo method is:
|
||
%
|
||
% QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
*/
|
||
MagickExport QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
|
||
{
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
|
||
assert(quantize_info != (QuantizeInfo *) NULL);
|
||
assert(quantize_info->signature == MagickCoreSignature);
|
||
quantize_info->signature=(~MagickCoreSignature);
|
||
quantize_info=(QuantizeInfo *) RelinquishMagickMemory(quantize_info);
|
||
return(quantize_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ D i t h e r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% DitherImage() distributes the difference between an original image and
|
||
% the corresponding color reduced algorithm to neighboring pixels using
|
||
% serpentine-scan Floyd-Steinberg error diffusion. DitherImage returns
|
||
% MagickTrue if the image is dithered otherwise MagickFalse.
|
||
%
|
||
% The format of the DitherImage method is:
|
||
%
|
||
% MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static DoublePixelPacket **DestroyPixelThreadSet(DoublePixelPacket **pixels)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
assert(pixels != (DoublePixelPacket **) NULL);
|
||
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
|
||
if (pixels[i] != (DoublePixelPacket *) NULL)
|
||
pixels[i]=(DoublePixelPacket *) RelinquishMagickMemory(pixels[i]);
|
||
pixels=(DoublePixelPacket **) RelinquishMagickMemory(pixels);
|
||
return(pixels);
|
||
}
|
||
|
||
static DoublePixelPacket **AcquirePixelThreadSet(const size_t count)
|
||
{
|
||
DoublePixelPacket
|
||
**pixels;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_threads;
|
||
|
||
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
|
||
pixels=(DoublePixelPacket **) AcquireQuantumMemory(number_threads,
|
||
sizeof(*pixels));
|
||
if (pixels == (DoublePixelPacket **) NULL)
|
||
return((DoublePixelPacket **) NULL);
|
||
(void) memset(pixels,0,number_threads*sizeof(*pixels));
|
||
for (i=0; i < (ssize_t) number_threads; i++)
|
||
{
|
||
pixels[i]=(DoublePixelPacket *) AcquireQuantumMemory(count,2*
|
||
sizeof(**pixels));
|
||
if (pixels[i] == (DoublePixelPacket *) NULL)
|
||
return(DestroyPixelThreadSet(pixels));
|
||
}
|
||
return(pixels);
|
||
}
|
||
|
||
static inline ssize_t CacheOffset(CubeInfo *cube_info,
|
||
const DoublePixelPacket *pixel)
|
||
{
|
||
#define RedShift(pixel) (((pixel) >> CacheShift) << (0*(8-CacheShift)))
|
||
#define GreenShift(pixel) (((pixel) >> CacheShift) << (1*(8-CacheShift)))
|
||
#define BlueShift(pixel) (((pixel) >> CacheShift) << (2*(8-CacheShift)))
|
||
#define AlphaShift(pixel) (((pixel) >> CacheShift) << (3*(8-CacheShift)))
|
||
|
||
ssize_t
|
||
offset;
|
||
|
||
offset=(ssize_t) (RedShift(ScaleQuantumToChar(ClampPixel(pixel->red))) |
|
||
GreenShift(ScaleQuantumToChar(ClampPixel(pixel->green))) |
|
||
BlueShift(ScaleQuantumToChar(ClampPixel(pixel->blue))));
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
offset|=AlphaShift(ScaleQuantumToChar(ClampPixel(pixel->alpha)));
|
||
return(offset);
|
||
}
|
||
|
||
static MagickBooleanType FloydSteinbergDither(Image *image,CubeInfo *cube_info,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define DitherImageTag "Dither/Image"
|
||
|
||
CacheView
|
||
*image_view;
|
||
|
||
const char
|
||
*artifact;
|
||
|
||
double
|
||
amount;
|
||
|
||
DoublePixelPacket
|
||
**pixels;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
/*
|
||
Distribute quantization error using Floyd-Steinberg.
|
||
*/
|
||
pixels=AcquirePixelThreadSet(image->columns);
|
||
if (pixels == (DoublePixelPacket **) NULL)
|
||
return(MagickFalse);
|
||
status=MagickTrue;
|
||
amount=1.0;
|
||
artifact=GetImageArtifact(image,"dither:diffusion-amount");
|
||
if (artifact != (const char *) NULL)
|
||
amount=StringToDoubleInterval(artifact,1.0);
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
CubeInfo
|
||
cube;
|
||
|
||
DoublePixelPacket
|
||
*current,
|
||
*previous;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
size_t
|
||
index;
|
||
|
||
ssize_t
|
||
v;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
cube=(*cube_info);
|
||
current=pixels[id]+(y & 0x01)*image->columns;
|
||
previous=pixels[id]+((y+1) & 0x01)*image->columns;
|
||
v=(ssize_t) ((y & 0x01) != 0 ? -1 : 1);
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
DoublePixelPacket
|
||
color,
|
||
pixel;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
u;
|
||
|
||
u=(y & 0x01) != 0 ? (ssize_t) image->columns-1-x : x;
|
||
AssociateAlphaPixel(image,&cube,q+u*GetPixelChannels(image),&pixel);
|
||
if (x > 0)
|
||
{
|
||
pixel.red+=7.0*amount*current[u-v].red/16;
|
||
pixel.green+=7.0*amount*current[u-v].green/16;
|
||
pixel.blue+=7.0*amount*current[u-v].blue/16;
|
||
if (cube.associate_alpha != MagickFalse)
|
||
pixel.alpha+=7.0*amount*current[u-v].alpha/16;
|
||
}
|
||
if (y > 0)
|
||
{
|
||
if (x < (ssize_t) (image->columns-1))
|
||
{
|
||
pixel.red+=previous[u+v].red/16;
|
||
pixel.green+=previous[u+v].green/16;
|
||
pixel.blue+=previous[u+v].blue/16;
|
||
if (cube.associate_alpha != MagickFalse)
|
||
pixel.alpha+=previous[u+v].alpha/16;
|
||
}
|
||
pixel.red+=5.0*amount*previous[u].red/16;
|
||
pixel.green+=5.0*amount*previous[u].green/16;
|
||
pixel.blue+=5.0*amount*previous[u].blue/16;
|
||
if (cube.associate_alpha != MagickFalse)
|
||
pixel.alpha+=5.0*amount*previous[u].alpha/16;
|
||
if (x > 0)
|
||
{
|
||
pixel.red+=3.0*amount*previous[u-v].red/16;
|
||
pixel.green+=3.0*amount*previous[u-v].green/16;
|
||
pixel.blue+=3.0*amount*previous[u-v].blue/16;
|
||
if (cube.associate_alpha != MagickFalse)
|
||
pixel.alpha+=3.0*amount*previous[u-v].alpha/16;
|
||
}
|
||
}
|
||
pixel.red=(double) ClampPixel(pixel.red);
|
||
pixel.green=(double) ClampPixel(pixel.green);
|
||
pixel.blue=(double) ClampPixel(pixel.blue);
|
||
if (cube.associate_alpha != MagickFalse)
|
||
pixel.alpha=(double) ClampPixel(pixel.alpha);
|
||
i=CacheOffset(&cube,&pixel);
|
||
if (cube.cache[i] < 0)
|
||
{
|
||
NodeInfo
|
||
*node_info;
|
||
|
||
size_t
|
||
node_id;
|
||
|
||
/*
|
||
Identify the deepest node containing the pixel's color.
|
||
*/
|
||
node_info=cube.root;
|
||
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
|
||
{
|
||
node_id=ColorToNodeId(&cube,&pixel,index);
|
||
if (node_info->child[node_id] == (NodeInfo *) NULL)
|
||
break;
|
||
node_info=node_info->child[node_id];
|
||
}
|
||
/*
|
||
Find closest color among siblings and their children.
|
||
*/
|
||
cube.target=pixel;
|
||
cube.distance=(double) (4.0*(QuantumRange+1.0)*(QuantumRange+1.0)+
|
||
1.0);
|
||
ClosestColor(image,&cube,node_info->parent);
|
||
cube.cache[i]=(ssize_t) cube.color_number;
|
||
}
|
||
/*
|
||
Assign pixel to closest colormap entry.
|
||
*/
|
||
index=(size_t) cube.cache[i];
|
||
if (image->storage_class == PseudoClass)
|
||
SetPixelIndex(image,(Quantum) index,q+u*GetPixelChannels(image));
|
||
if (cube.quantize_info->measure_error == MagickFalse)
|
||
{
|
||
SetPixelRed(image,ClampToQuantum(image->colormap[index].red),
|
||
q+u*GetPixelChannels(image));
|
||
SetPixelGreen(image,ClampToQuantum(image->colormap[index].green),
|
||
q+u*GetPixelChannels(image));
|
||
SetPixelBlue(image,ClampToQuantum(image->colormap[index].blue),
|
||
q+u*GetPixelChannels(image));
|
||
if (cube.associate_alpha != MagickFalse)
|
||
SetPixelAlpha(image,ClampToQuantum(image->colormap[index].alpha),
|
||
q+u*GetPixelChannels(image));
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
/*
|
||
Store the error.
|
||
*/
|
||
AssociateAlphaPixelInfo(&cube,image->colormap+index,&color);
|
||
current[u].red=pixel.red-color.red;
|
||
current[u].green=pixel.green-color.green;
|
||
current[u].blue=pixel.blue-color.blue;
|
||
if (cube.associate_alpha != MagickFalse)
|
||
current[u].alpha=pixel.alpha-color.alpha;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
proceed=SetImageProgress(image,DitherImageTag,(MagickOffsetType) y,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
pixels=DestroyPixelThreadSet(pixels);
|
||
return(MagickTrue);
|
||
}
|
||
|
||
static MagickBooleanType
|
||
RiemersmaDither(Image *,CacheView *,CubeInfo *,const unsigned int,
|
||
ExceptionInfo *);
|
||
|
||
static void Riemersma(Image *image,CacheView *image_view,CubeInfo *cube_info,
|
||
const size_t level,const unsigned int direction,ExceptionInfo *exception)
|
||
{
|
||
if (level == 1)
|
||
switch (direction)
|
||
{
|
||
case WestGravity:
|
||
{
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case EastGravity:
|
||
{
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case NorthGravity:
|
||
{
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case SouthGravity:
|
||
{
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
default:
|
||
break;
|
||
}
|
||
else
|
||
switch (direction)
|
||
{
|
||
case WestGravity:
|
||
{
|
||
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,WestGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,WestGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case EastGravity:
|
||
{
|
||
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,EastGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,EastGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case NorthGravity:
|
||
{
|
||
Riemersma(image,image_view,cube_info,level-1,WestGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,EastGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
case SouthGravity:
|
||
{
|
||
Riemersma(image,image_view,cube_info,level-1,EastGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
|
||
exception);
|
||
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
|
||
exception);
|
||
Riemersma(image,image_view,cube_info,level-1,WestGravity,
|
||
exception);
|
||
break;
|
||
}
|
||
default:
|
||
break;
|
||
}
|
||
}
|
||
|
||
static MagickBooleanType RiemersmaDither(Image *image,CacheView *image_view,
|
||
CubeInfo *cube_info,const unsigned int direction,ExceptionInfo *exception)
|
||
{
|
||
#define DitherImageTag "Dither/Image"
|
||
|
||
DoublePixelPacket
|
||
color,
|
||
pixel;
|
||
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
CubeInfo
|
||
*p;
|
||
|
||
size_t
|
||
index;
|
||
|
||
p=cube_info;
|
||
if ((p->x >= 0) && (p->x < (ssize_t) image->columns) &&
|
||
(p->y >= 0) && (p->y < (ssize_t) image->rows))
|
||
{
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
/*
|
||
Distribute error.
|
||
*/
|
||
q=GetCacheViewAuthenticPixels(image_view,p->x,p->y,1,1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
return(MagickFalse);
|
||
AssociateAlphaPixel(image,cube_info,q,&pixel);
|
||
for (i=0; i < ErrorQueueLength; i++)
|
||
{
|
||
pixel.red+=p->weights[i]*p->error[i].red;
|
||
pixel.green+=p->weights[i]*p->error[i].green;
|
||
pixel.blue+=p->weights[i]*p->error[i].blue;
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
pixel.alpha+=p->weights[i]*p->error[i].alpha;
|
||
}
|
||
pixel.red=(double) ClampPixel(pixel.red);
|
||
pixel.green=(double) ClampPixel(pixel.green);
|
||
pixel.blue=(double) ClampPixel(pixel.blue);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
pixel.alpha=(double) ClampPixel(pixel.alpha);
|
||
i=CacheOffset(cube_info,&pixel);
|
||
if (p->cache[i] < 0)
|
||
{
|
||
NodeInfo
|
||
*node_info;
|
||
|
||
size_t
|
||
id;
|
||
|
||
/*
|
||
Identify the deepest node containing the pixel's color.
|
||
*/
|
||
node_info=p->root;
|
||
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
|
||
{
|
||
id=ColorToNodeId(cube_info,&pixel,index);
|
||
if (node_info->child[id] == (NodeInfo *) NULL)
|
||
break;
|
||
node_info=node_info->child[id];
|
||
}
|
||
/*
|
||
Find closest color among siblings and their children.
|
||
*/
|
||
p->target=pixel;
|
||
p->distance=(double) (4.0*(QuantumRange+1.0)*((double)
|
||
QuantumRange+1.0)+1.0);
|
||
ClosestColor(image,p,node_info->parent);
|
||
p->cache[i]=(ssize_t) p->color_number;
|
||
}
|
||
/*
|
||
Assign pixel to closest colormap entry.
|
||
*/
|
||
index=(size_t) p->cache[i];
|
||
if (image->storage_class == PseudoClass)
|
||
SetPixelIndex(image,(Quantum) index,q);
|
||
if (cube_info->quantize_info->measure_error == MagickFalse)
|
||
{
|
||
SetPixelRed(image,ClampToQuantum(image->colormap[index].red),q);
|
||
SetPixelGreen(image,ClampToQuantum(image->colormap[index].green),q);
|
||
SetPixelBlue(image,ClampToQuantum(image->colormap[index].blue),q);
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
SetPixelAlpha(image,ClampToQuantum(image->colormap[index].alpha),q);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
return(MagickFalse);
|
||
/*
|
||
Propagate the error as the last entry of the error queue.
|
||
*/
|
||
(void) memmove(p->error,p->error+1,(ErrorQueueLength-1)*
|
||
sizeof(p->error[0]));
|
||
AssociateAlphaPixelInfo(cube_info,image->colormap+index,&color);
|
||
p->error[ErrorQueueLength-1].red=pixel.red-color.red;
|
||
p->error[ErrorQueueLength-1].green=pixel.green-color.green;
|
||
p->error[ErrorQueueLength-1].blue=pixel.blue-color.blue;
|
||
if (cube_info->associate_alpha != MagickFalse)
|
||
p->error[ErrorQueueLength-1].alpha=pixel.alpha-color.alpha;
|
||
proceed=SetImageProgress(image,DitherImageTag,p->offset,p->span);
|
||
if (proceed == MagickFalse)
|
||
return(MagickFalse);
|
||
p->offset++;
|
||
}
|
||
switch (direction)
|
||
{
|
||
case WestGravity: p->x--; break;
|
||
case EastGravity: p->x++; break;
|
||
case NorthGravity: p->y--; break;
|
||
case SouthGravity: p->y++; break;
|
||
}
|
||
return(MagickTrue);
|
||
}
|
||
|
||
static MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info,
|
||
ExceptionInfo *exception)
|
||
{
|
||
CacheView
|
||
*image_view;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
depth;
|
||
|
||
if (cube_info->quantize_info->dither_method != RiemersmaDitherMethod)
|
||
return(FloydSteinbergDither(image,cube_info,exception));
|
||
/*
|
||
Distribute quantization error along a Hilbert curve.
|
||
*/
|
||
(void) memset(cube_info->error,0,ErrorQueueLength*sizeof(*cube_info->error));
|
||
cube_info->x=0;
|
||
cube_info->y=0;
|
||
i=MagickMax((ssize_t) image->columns,(ssize_t) image->rows);
|
||
for (depth=1; i != 0; depth++)
|
||
i>>=1;
|
||
if ((ssize_t) (1L << depth) < MagickMax((ssize_t) image->columns,(ssize_t) image->rows))
|
||
depth++;
|
||
cube_info->offset=0;
|
||
cube_info->span=(MagickSizeType) image->columns*image->rows;
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
if (depth > 1)
|
||
Riemersma(image,image_view,cube_info,depth-1,NorthGravity,exception);
|
||
status=RiemersmaDither(image,image_view,cube_info,ForgetGravity,exception);
|
||
image_view=DestroyCacheView(image_view);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ G e t C u b e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% GetCubeInfo() initialize the Cube data structure.
|
||
%
|
||
% The format of the GetCubeInfo method is:
|
||
%
|
||
% CubeInfo GetCubeInfo(const QuantizeInfo *quantize_info,
|
||
% const size_t depth,const size_t maximum_colors)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
% o depth: Normally, this integer value is zero or one. A zero or
|
||
% one tells Quantize to choose a optimal tree depth of Log4(number_colors).
|
||
% A tree of this depth generally allows the best representation of the
|
||
% reference image with the least amount of memory and the fastest
|
||
% computational speed. In some cases, such as an image with low color
|
||
% dispersion (a few number of colors), a value other than
|
||
% Log4(number_colors) is required. To expand the color tree completely,
|
||
% use a value of 8.
|
||
%
|
||
% o maximum_colors: maximum colors.
|
||
%
|
||
*/
|
||
static CubeInfo *GetCubeInfo(const QuantizeInfo *quantize_info,
|
||
const size_t depth,const size_t maximum_colors)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
double
|
||
sum,
|
||
weight;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
length;
|
||
|
||
/*
|
||
Initialize tree to describe color cube_info.
|
||
*/
|
||
cube_info=(CubeInfo *) AcquireMagickMemory(sizeof(*cube_info));
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
return((CubeInfo *) NULL);
|
||
(void) memset(cube_info,0,sizeof(*cube_info));
|
||
cube_info->depth=depth;
|
||
if (cube_info->depth > MaxTreeDepth)
|
||
cube_info->depth=MaxTreeDepth;
|
||
if (cube_info->depth < 2)
|
||
cube_info->depth=2;
|
||
cube_info->maximum_colors=maximum_colors;
|
||
/*
|
||
Initialize root node.
|
||
*/
|
||
cube_info->root=GetNodeInfo(cube_info,0,0,(NodeInfo *) NULL);
|
||
if (cube_info->root == (NodeInfo *) NULL)
|
||
return((CubeInfo *) NULL);
|
||
cube_info->root->parent=cube_info->root;
|
||
cube_info->quantize_info=CloneQuantizeInfo(quantize_info);
|
||
if (cube_info->quantize_info->dither_method == NoDitherMethod)
|
||
return(cube_info);
|
||
/*
|
||
Initialize dither resources.
|
||
*/
|
||
length=(size_t) (1UL << (4*(8-CacheShift)));
|
||
cube_info->memory_info=AcquireVirtualMemory(length,sizeof(*cube_info->cache));
|
||
if (cube_info->memory_info == (MemoryInfo *) NULL)
|
||
return((CubeInfo *) NULL);
|
||
cube_info->cache=(ssize_t *) GetVirtualMemoryBlob(cube_info->memory_info);
|
||
/*
|
||
Initialize color cache.
|
||
*/
|
||
(void) memset(cube_info->cache,(-1),sizeof(*cube_info->cache)*length);
|
||
/*
|
||
Distribute weights along a curve of exponential decay.
|
||
*/
|
||
weight=1.0;
|
||
for (i=0; i < ErrorQueueLength; i++)
|
||
{
|
||
cube_info->weights[ErrorQueueLength-i-1]=PerceptibleReciprocal(weight);
|
||
weight*=exp(log(((double) QuantumRange+1.0))/(ErrorQueueLength-1.0));
|
||
}
|
||
/*
|
||
Normalize the weighting factors.
|
||
*/
|
||
weight=0.0;
|
||
for (i=0; i < ErrorQueueLength; i++)
|
||
weight+=cube_info->weights[i];
|
||
sum=0.0;
|
||
for (i=0; i < ErrorQueueLength; i++)
|
||
{
|
||
cube_info->weights[i]/=weight;
|
||
sum+=cube_info->weights[i];
|
||
}
|
||
cube_info->weights[0]+=1.0-sum;
|
||
return(cube_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ G e t N o d e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% GetNodeInfo() allocates memory for a new node in the color cube tree and
|
||
% presets all fields to zero.
|
||
%
|
||
% The format of the GetNodeInfo method is:
|
||
%
|
||
% NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
|
||
% const size_t level,NodeInfo *parent)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o node: The GetNodeInfo method returns a pointer to a queue of nodes.
|
||
%
|
||
% o id: Specifies the child number of the node.
|
||
%
|
||
% o level: Specifies the level in the storage_class the node resides.
|
||
%
|
||
*/
|
||
static NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
|
||
const size_t level,NodeInfo *parent)
|
||
{
|
||
NodeInfo
|
||
*node_info;
|
||
|
||
if (cube_info->free_nodes == 0)
|
||
{
|
||
Nodes
|
||
*nodes;
|
||
|
||
/*
|
||
Allocate a new queue of nodes.
|
||
*/
|
||
nodes=(Nodes *) AcquireMagickMemory(sizeof(*nodes));
|
||
if (nodes == (Nodes *) NULL)
|
||
return((NodeInfo *) NULL);
|
||
nodes->nodes=(NodeInfo *) AcquireQuantumMemory(NodesInAList,
|
||
sizeof(*nodes->nodes));
|
||
if (nodes->nodes == (NodeInfo *) NULL)
|
||
return((NodeInfo *) NULL);
|
||
nodes->next=cube_info->node_queue;
|
||
cube_info->node_queue=nodes;
|
||
cube_info->next_node=nodes->nodes;
|
||
cube_info->free_nodes=NodesInAList;
|
||
}
|
||
cube_info->nodes++;
|
||
cube_info->free_nodes--;
|
||
node_info=cube_info->next_node++;
|
||
(void) memset(node_info,0,sizeof(*node_info));
|
||
node_info->parent=parent;
|
||
node_info->id=id;
|
||
node_info->level=level;
|
||
return(node_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% G e t I m a g e Q u a n t i z e E r r o r %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% GetImageQuantizeError() measures the difference between the original
|
||
% and quantized images. This difference is the total quantization error.
|
||
% The error is computed by summing over all pixels in an image the distance
|
||
% squared in RGB space between each reference pixel value and its quantized
|
||
% value. These values are computed:
|
||
%
|
||
% o mean_error_per_pixel: This value is the mean error for any single
|
||
% pixel in the image.
|
||
%
|
||
% o normalized_mean_square_error: This value is the normalized mean
|
||
% quantization error for any single pixel in the image. This distance
|
||
% measure is normalized to a range between 0 and 1. It is independent
|
||
% of the range of red, green, and blue values in the image.
|
||
%
|
||
% o normalized_maximum_square_error: Thsi value is the normalized
|
||
% maximum quantization error for any single pixel in the image. This
|
||
% distance measure is normalized to a range between 0 and 1. It is
|
||
% independent of the range of red, green, and blue values in your image.
|
||
%
|
||
% The format of the GetImageQuantizeError method is:
|
||
%
|
||
% MagickBooleanType GetImageQuantizeError(Image *image,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType GetImageQuantizeError(Image *image,
|
||
ExceptionInfo *exception)
|
||
{
|
||
CacheView
|
||
*image_view;
|
||
|
||
double
|
||
alpha,
|
||
area,
|
||
beta,
|
||
distance,
|
||
maximum_error,
|
||
mean_error,
|
||
mean_error_per_pixel;
|
||
|
||
ssize_t
|
||
index,
|
||
y;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
image->total_colors=GetNumberColors(image,(FILE *) NULL,exception);
|
||
(void) memset(&image->error,0,sizeof(image->error));
|
||
if (image->storage_class == DirectClass)
|
||
return(MagickTrue);
|
||
alpha=1.0;
|
||
beta=1.0;
|
||
area=3.0*image->columns*image->rows;
|
||
maximum_error=0.0;
|
||
mean_error_per_pixel=0.0;
|
||
mean_error=0.0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
index=(ssize_t) GetPixelIndex(image,p);
|
||
if (image->alpha_trait == BlendPixelTrait)
|
||
{
|
||
alpha=(double) (QuantumScale*GetPixelAlpha(image,p));
|
||
beta=(double) (QuantumScale*image->colormap[index].alpha);
|
||
}
|
||
distance=fabs((double) (alpha*GetPixelRed(image,p)-beta*
|
||
image->colormap[index].red));
|
||
mean_error_per_pixel+=distance;
|
||
mean_error+=distance*distance;
|
||
if (distance > maximum_error)
|
||
maximum_error=distance;
|
||
distance=fabs((double) (alpha*GetPixelGreen(image,p)-beta*
|
||
image->colormap[index].green));
|
||
mean_error_per_pixel+=distance;
|
||
mean_error+=distance*distance;
|
||
if (distance > maximum_error)
|
||
maximum_error=distance;
|
||
distance=fabs((double) (alpha*GetPixelBlue(image,p)-beta*
|
||
image->colormap[index].blue));
|
||
mean_error_per_pixel+=distance;
|
||
mean_error+=distance*distance;
|
||
if (distance > maximum_error)
|
||
maximum_error=distance;
|
||
p+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
image->error.mean_error_per_pixel=(double) mean_error_per_pixel/area;
|
||
image->error.normalized_mean_error=(double) QuantumScale*QuantumScale*
|
||
mean_error/area;
|
||
image->error.normalized_maximum_error=(double) QuantumScale*maximum_error;
|
||
return(MagickTrue);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% G e t Q u a n t i z e I n f o %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% GetQuantizeInfo() initializes the QuantizeInfo structure.
|
||
%
|
||
% The format of the GetQuantizeInfo method is:
|
||
%
|
||
% GetQuantizeInfo(QuantizeInfo *quantize_info)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to a QuantizeInfo structure.
|
||
%
|
||
*/
|
||
MagickExport void GetQuantizeInfo(QuantizeInfo *quantize_info)
|
||
{
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
|
||
assert(quantize_info != (QuantizeInfo *) NULL);
|
||
(void) memset(quantize_info,0,sizeof(*quantize_info));
|
||
quantize_info->number_colors=256;
|
||
quantize_info->dither_method=RiemersmaDitherMethod;
|
||
quantize_info->colorspace=UndefinedColorspace;
|
||
quantize_info->measure_error=MagickFalse;
|
||
quantize_info->signature=MagickCoreSignature;
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% K m e a n s I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% KmeansImage() applies k-means color reduction to an image. This is a
|
||
% colorspace clustering or segmentation technique.
|
||
%
|
||
% The format of the KmeansImage method is:
|
||
%
|
||
% MagickBooleanType KmeansImage(Image *image,const size_t number_colors,
|
||
% const size_t max_iterations,const double tolerance,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o number_colors: number of colors to use as seeds.
|
||
%
|
||
% o max_iterations: maximum number of iterations while converging.
|
||
%
|
||
% o tolerance: the maximum tolerance.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
typedef struct _KmeansInfo
|
||
{
|
||
double
|
||
red,
|
||
green,
|
||
blue,
|
||
alpha,
|
||
black,
|
||
count,
|
||
distortion;
|
||
} KmeansInfo;
|
||
|
||
static KmeansInfo **DestroyKmeansThreadSet(KmeansInfo **kmeans_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
assert(kmeans_info != (KmeansInfo **) NULL);
|
||
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
|
||
if (kmeans_info[i] != (KmeansInfo *) NULL)
|
||
kmeans_info[i]=(KmeansInfo *) RelinquishMagickMemory(kmeans_info[i]);
|
||
kmeans_info=(KmeansInfo **) RelinquishMagickMemory(kmeans_info);
|
||
return(kmeans_info);
|
||
}
|
||
|
||
static KmeansInfo **AcquireKmeansThreadSet(const size_t number_colors)
|
||
{
|
||
KmeansInfo
|
||
**kmeans_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_threads;
|
||
|
||
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
|
||
kmeans_info=(KmeansInfo **) AcquireQuantumMemory(number_threads,
|
||
sizeof(*kmeans_info));
|
||
if (kmeans_info == (KmeansInfo **) NULL)
|
||
return((KmeansInfo **) NULL);
|
||
(void) memset(kmeans_info,0,number_threads*sizeof(*kmeans_info));
|
||
for (i=0; i < (ssize_t) number_threads; i++)
|
||
{
|
||
kmeans_info[i]=(KmeansInfo *) AcquireQuantumMemory(number_colors,
|
||
sizeof(**kmeans_info));
|
||
if (kmeans_info[i] == (KmeansInfo *) NULL)
|
||
return(DestroyKmeansThreadSet(kmeans_info));
|
||
}
|
||
return(kmeans_info);
|
||
}
|
||
|
||
static inline double KmeansMetric(const Image *magick_restrict image,
|
||
const Quantum *magick_restrict p,const PixelInfo *magick_restrict q)
|
||
{
|
||
double
|
||
gamma,
|
||
metric,
|
||
pixel;
|
||
|
||
gamma=1.0;
|
||
metric=0.0;
|
||
if ((image->alpha_trait != UndefinedPixelTrait) ||
|
||
(q->alpha_trait != UndefinedPixelTrait))
|
||
{
|
||
pixel=GetPixelAlpha(image,p)-(q->alpha_trait != UndefinedPixelTrait ?
|
||
q->alpha : OpaqueAlpha);
|
||
metric+=pixel*pixel;
|
||
if (image->alpha_trait != UndefinedPixelTrait)
|
||
gamma*=QuantumScale*GetPixelAlpha(image,p);
|
||
if (q->alpha_trait != UndefinedPixelTrait)
|
||
gamma*=QuantumScale*q->alpha;
|
||
}
|
||
if (image->colorspace == CMYKColorspace)
|
||
{
|
||
pixel=QuantumScale*(GetPixelBlack(image,p)-q->black);
|
||
metric+=gamma*pixel*pixel;
|
||
gamma*=QuantumScale*(QuantumRange-GetPixelBlack(image,p));
|
||
gamma*=QuantumScale*(QuantumRange-q->black);
|
||
}
|
||
metric*=3.0;
|
||
pixel=QuantumScale*(GetPixelRed(image,p)-q->red);
|
||
if (IsHueCompatibleColorspace(image->colorspace) != MagickFalse)
|
||
{
|
||
if (fabs((double) pixel) > 0.5)
|
||
pixel-=0.5;
|
||
pixel*=2.0;
|
||
}
|
||
metric+=gamma*pixel*pixel;
|
||
pixel=QuantumScale*(GetPixelGreen(image,p)-q->green);
|
||
metric+=gamma*pixel*pixel;
|
||
pixel=QuantumScale*(GetPixelBlue(image,p)-q->blue);
|
||
metric+=gamma*pixel*pixel;
|
||
return(metric);
|
||
}
|
||
|
||
MagickExport MagickBooleanType KmeansImage(Image *image,
|
||
const size_t number_colors,const size_t max_iterations,const double tolerance,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define KmeansImageTag "Kmeans/Image"
|
||
#define RandomColorComponent(info) (QuantumRange*GetPseudoRandomValue(info))
|
||
|
||
CacheView
|
||
*image_view;
|
||
|
||
const char
|
||
*colors;
|
||
|
||
double
|
||
previous_tolerance;
|
||
|
||
KmeansInfo
|
||
**kmeans_pixels;
|
||
|
||
MagickBooleanType
|
||
verbose,
|
||
status;
|
||
|
||
ssize_t
|
||
n;
|
||
|
||
size_t
|
||
number_threads;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
colors=GetImageArtifact(image,"kmeans:seed-colors");
|
||
if (colors == (const char *) NULL)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
QuantizeInfo
|
||
*quantize_info;
|
||
|
||
size_t
|
||
colors,
|
||
depth;
|
||
|
||
/*
|
||
Seed clusters from color quantization.
|
||
*/
|
||
quantize_info=AcquireQuantizeInfo((ImageInfo *) NULL);
|
||
quantize_info->colorspace=image->colorspace;
|
||
quantize_info->number_colors=number_colors;
|
||
quantize_info->dither_method=NoDitherMethod;
|
||
colors=number_colors;
|
||
for (depth=1; colors != 0; depth++)
|
||
colors>>=2;
|
||
cube_info=GetCubeInfo(quantize_info,depth,number_colors);
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
{
|
||
quantize_info=DestroyQuantizeInfo(quantize_info);
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
}
|
||
status=ClassifyImageColors(cube_info,image,exception);
|
||
if (status != MagickFalse)
|
||
{
|
||
if (cube_info->colors > cube_info->maximum_colors)
|
||
ReduceImageColors(image,cube_info);
|
||
status=SetImageColormap(image,cube_info,exception);
|
||
}
|
||
DestroyCubeInfo(cube_info);
|
||
quantize_info=DestroyQuantizeInfo(quantize_info);
|
||
if (status == MagickFalse)
|
||
return(status);
|
||
}
|
||
else
|
||
{
|
||
char
|
||
color[MagickPathExtent];
|
||
|
||
const char
|
||
*p;
|
||
|
||
/*
|
||
Seed clusters from color list (e.g. red;green;blue).
|
||
*/
|
||
status=AcquireImageColormap(image,number_colors,exception);
|
||
if (status == MagickFalse)
|
||
return(status);
|
||
for (n=0, p=colors; n < (ssize_t) image->colors; n++)
|
||
{
|
||
const char
|
||
*q;
|
||
|
||
for (q=p; *q != '\0'; q++)
|
||
if (*q == ';')
|
||
break;
|
||
(void) CopyMagickString(color,p,(size_t) MagickMin(q-p+1,
|
||
MagickPathExtent));
|
||
(void) QueryColorCompliance(color,AllCompliance,image->colormap+n,
|
||
exception);
|
||
if (*q == '\0')
|
||
{
|
||
n++;
|
||
break;
|
||
}
|
||
p=q+1;
|
||
}
|
||
if (n < (ssize_t) image->colors)
|
||
{
|
||
RandomInfo
|
||
*random_info;
|
||
|
||
/*
|
||
Seed clusters from random values.
|
||
*/
|
||
random_info=AcquireRandomInfo();
|
||
for ( ; n < (ssize_t) image->colors; n++)
|
||
{
|
||
(void) QueryColorCompliance("#000",AllCompliance,image->colormap+n,
|
||
exception);
|
||
image->colormap[n].red=RandomColorComponent(random_info);
|
||
image->colormap[n].green=RandomColorComponent(random_info);
|
||
image->colormap[n].blue=RandomColorComponent(random_info);
|
||
if (image->alpha_trait != BlendPixelTrait)
|
||
image->colormap[n].alpha=RandomColorComponent(random_info);
|
||
if (image->colorspace == CMYKColorspace)
|
||
image->colormap[n].black=RandomColorComponent(random_info);
|
||
}
|
||
random_info=DestroyRandomInfo(random_info);
|
||
}
|
||
}
|
||
/*
|
||
Iterative refinement.
|
||
*/
|
||
kmeans_pixels=AcquireKmeansThreadSet(number_colors);
|
||
if (kmeans_pixels == (KmeansInfo **) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
previous_tolerance=0.0;
|
||
verbose=IsStringTrue(GetImageArtifact(image,"debug"));
|
||
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
for (n=0; n < (ssize_t) max_iterations; n++)
|
||
{
|
||
double
|
||
distortion;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
for (i=0; i < (ssize_t) number_threads; i++)
|
||
(void) memset(kmeans_pixels[i],0,image->colors*sizeof(*kmeans_pixels[i]));
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(dynamic) shared(status) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
double
|
||
min_distance;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
j;
|
||
|
||
/*
|
||
Assign each pixel whose mean has the least squared color distance.
|
||
*/
|
||
j=0;
|
||
min_distance=KmeansMetric(image,q,image->colormap+0);
|
||
for (i=1; i < (ssize_t) image->colors; i++)
|
||
{
|
||
double
|
||
distance;
|
||
|
||
if (min_distance <= MagickEpsilon)
|
||
break;
|
||
distance=KmeansMetric(image,q,image->colormap+i);
|
||
if (distance < min_distance)
|
||
{
|
||
min_distance=distance;
|
||
j=i;
|
||
}
|
||
}
|
||
kmeans_pixels[id][j].red+=QuantumScale*GetPixelRed(image,q);
|
||
kmeans_pixels[id][j].green+=QuantumScale*GetPixelGreen(image,q);
|
||
kmeans_pixels[id][j].blue+=QuantumScale*GetPixelBlue(image,q);
|
||
if (image->alpha_trait != BlendPixelTrait)
|
||
kmeans_pixels[id][j].alpha+=QuantumScale*GetPixelAlpha(image,q);
|
||
if (image->colorspace == CMYKColorspace)
|
||
kmeans_pixels[id][j].black+=QuantumScale*GetPixelBlack(image,q);
|
||
kmeans_pixels[id][j].count++;
|
||
kmeans_pixels[id][j].distortion+=min_distance;
|
||
SetPixelIndex(image,(Quantum) j,q);
|
||
q+=GetPixelChannels(image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
if (status == MagickFalse)
|
||
break;
|
||
/*
|
||
Reduce sums to [0] entry.
|
||
*/
|
||
for (i=1; i < (ssize_t) number_threads; i++)
|
||
{
|
||
ssize_t
|
||
j;
|
||
|
||
for (j=0; j < (ssize_t) image->colors; j++)
|
||
{
|
||
kmeans_pixels[0][j].red+=kmeans_pixels[i][j].red;
|
||
kmeans_pixels[0][j].green+=kmeans_pixels[i][j].green;
|
||
kmeans_pixels[0][j].blue+=kmeans_pixels[i][j].blue;
|
||
if (image->alpha_trait != BlendPixelTrait)
|
||
kmeans_pixels[0][j].alpha+=kmeans_pixels[i][j].alpha;
|
||
if (image->colorspace == CMYKColorspace)
|
||
kmeans_pixels[0][j].black+=kmeans_pixels[i][j].black;
|
||
kmeans_pixels[0][j].count+=kmeans_pixels[i][j].count;
|
||
kmeans_pixels[0][j].distortion+=kmeans_pixels[i][j].distortion;
|
||
}
|
||
}
|
||
/*
|
||
Calculate the new means (centroids) of the pixels in the new clusters.
|
||
*/
|
||
distortion=0.0;
|
||
for (i=0; i < (ssize_t) image->colors; i++)
|
||
{
|
||
double
|
||
gamma;
|
||
|
||
gamma=PerceptibleReciprocal((double) kmeans_pixels[0][i].count);
|
||
image->colormap[i].red=gamma*QuantumRange*kmeans_pixels[0][i].red;
|
||
image->colormap[i].green=gamma*QuantumRange*kmeans_pixels[0][i].green;
|
||
image->colormap[i].blue=gamma*QuantumRange*kmeans_pixels[0][i].blue;
|
||
if (image->alpha_trait != BlendPixelTrait)
|
||
image->colormap[i].alpha=gamma*QuantumRange*kmeans_pixels[0][i].alpha;
|
||
if (image->colorspace == CMYKColorspace)
|
||
image->colormap[i].black=gamma*QuantumRange*kmeans_pixels[0][i].black;
|
||
distortion+=kmeans_pixels[0][i].distortion;
|
||
}
|
||
if (verbose != MagickFalse)
|
||
(void) FormatLocaleFile(stderr,"distortion[%.20g]: %*g %*g\n",(double) n,
|
||
GetMagickPrecision(),distortion,GetMagickPrecision(),
|
||
fabs(distortion-previous_tolerance));
|
||
if (fabs(distortion-previous_tolerance) <= tolerance)
|
||
break;
|
||
previous_tolerance=distortion;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
proceed=SetImageProgress(image,KmeansImageTag,(MagickOffsetType) n,
|
||
max_iterations);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
kmeans_pixels=DestroyKmeansThreadSet(kmeans_pixels);
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
(void) SetImageProgress(image,KmeansImageTag,(MagickOffsetType)
|
||
max_iterations-1,max_iterations);
|
||
if (status == MagickFalse)
|
||
return(status);
|
||
return(SyncImage(image,exception));
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% P o s t e r i z e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% PosterizeImage() reduces the image to a limited number of colors for a
|
||
% "poster" effect.
|
||
%
|
||
% The format of the PosterizeImage method is:
|
||
%
|
||
% MagickBooleanType PosterizeImage(Image *image,const size_t levels,
|
||
% const DitherMethod dither_method,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: Specifies a pointer to an Image structure.
|
||
%
|
||
% o levels: Number of color levels allowed in each channel. Very low values
|
||
% (2, 3, or 4) have the most visible effect.
|
||
%
|
||
% o dither_method: choose from UndefinedDitherMethod, NoDitherMethod,
|
||
% RiemersmaDitherMethod, FloydSteinbergDitherMethod.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static inline double MagickRound(double x)
|
||
{
|
||
/*
|
||
Round the fraction to nearest integer.
|
||
*/
|
||
if ((x-floor(x)) < (ceil(x)-x))
|
||
return(floor(x));
|
||
return(ceil(x));
|
||
}
|
||
|
||
MagickExport MagickBooleanType PosterizeImage(Image *image,const size_t levels,
|
||
const DitherMethod dither_method,ExceptionInfo *exception)
|
||
{
|
||
#define PosterizeImageTag "Posterize/Image"
|
||
#define PosterizePixel(pixel) ClampToQuantum((MagickRealType) QuantumRange*( \
|
||
MagickRound(QuantumScale*pixel*(levels-1)))/MagickMax((ssize_t) levels-1,1))
|
||
|
||
CacheView
|
||
*image_view;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
QuantizeInfo
|
||
*quantize_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (image->storage_class == PseudoClass)
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,image,image->colors,1)
|
||
#endif
|
||
for (i=0; i < (ssize_t) image->colors; i++)
|
||
{
|
||
/*
|
||
Posterize colormap.
|
||
*/
|
||
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
|
||
image->colormap[i].red=(double)
|
||
PosterizePixel(image->colormap[i].red);
|
||
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
|
||
image->colormap[i].green=(double)
|
||
PosterizePixel(image->colormap[i].green);
|
||
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
|
||
image->colormap[i].blue=(double)
|
||
PosterizePixel(image->colormap[i].blue);
|
||
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
|
||
image->colormap[i].alpha=(double)
|
||
PosterizePixel(image->colormap[i].alpha);
|
||
}
|
||
/*
|
||
Posterize image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
|
||
SetPixelRed(image,PosterizePixel(GetPixelRed(image,q)),q);
|
||
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
|
||
SetPixelGreen(image,PosterizePixel(GetPixelGreen(image,q)),q);
|
||
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
|
||
SetPixelBlue(image,PosterizePixel(GetPixelBlue(image,q)),q);
|
||
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
|
||
(image->colorspace == CMYKColorspace))
|
||
SetPixelBlack(image,PosterizePixel(GetPixelBlack(image,q)),q);
|
||
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
|
||
(image->alpha_trait == BlendPixelTrait))
|
||
SetPixelAlpha(image,PosterizePixel(GetPixelAlpha(image,q)),q);
|
||
q+=GetPixelChannels(image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,PosterizeImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
quantize_info=AcquireQuantizeInfo((ImageInfo *) NULL);
|
||
quantize_info->number_colors=(size_t) MagickMin((ssize_t) levels*levels*
|
||
levels,MaxColormapSize+1);
|
||
quantize_info->dither_method=dither_method;
|
||
quantize_info->tree_depth=MaxTreeDepth;
|
||
status=QuantizeImage(quantize_info,image,exception);
|
||
quantize_info=DestroyQuantizeInfo(quantize_info);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ P r u n e C h i l d %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% PruneChild() deletes the given node and merges its statistics into its
|
||
% parent.
|
||
%
|
||
% The format of the PruneSubtree method is:
|
||
%
|
||
% PruneChild(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: pointer to node in color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void PruneChild(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
{
|
||
NodeInfo
|
||
*parent;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
PruneChild(cube_info,node_info->child[i]);
|
||
/*
|
||
Merge color statistics into parent.
|
||
*/
|
||
parent=node_info->parent;
|
||
parent->number_unique+=node_info->number_unique;
|
||
parent->total_color.red+=node_info->total_color.red;
|
||
parent->total_color.green+=node_info->total_color.green;
|
||
parent->total_color.blue+=node_info->total_color.blue;
|
||
parent->total_color.alpha+=node_info->total_color.alpha;
|
||
parent->child[node_info->id]=(NodeInfo *) NULL;
|
||
cube_info->nodes--;
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ P r u n e L e v e l %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% PruneLevel() deletes all nodes at the bottom level of the color tree merging
|
||
% their color statistics into their parent node.
|
||
%
|
||
% The format of the PruneLevel method is:
|
||
%
|
||
% PruneLevel(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: pointer to node in color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void PruneLevel(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
PruneLevel(cube_info,node_info->child[i]);
|
||
if (node_info->level == cube_info->depth)
|
||
PruneChild(cube_info,node_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ P r u n e T o C u b e D e p t h %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% PruneToCubeDepth() deletes any nodes at a depth greater than
|
||
% cube_info->depth while merging their color statistics into their parent
|
||
% node.
|
||
%
|
||
% The format of the PruneToCubeDepth method is:
|
||
%
|
||
% PruneToCubeDepth(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: pointer to node in color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void PruneToCubeDepth(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
PruneToCubeDepth(cube_info,node_info->child[i]);
|
||
if (node_info->level > cube_info->depth)
|
||
PruneChild(cube_info,node_info);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% Q u a n t i z e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% QuantizeImage() analyzes the colors within a reference image and chooses a
|
||
% fixed number of colors to represent the image. The goal of the algorithm
|
||
% is to minimize the color difference between the input and output image while
|
||
% minimizing the processing time.
|
||
%
|
||
% The format of the QuantizeImage method is:
|
||
%
|
||
% MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
|
||
% Image *image,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
|
||
Image *image,ExceptionInfo *exception)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
size_t
|
||
depth,
|
||
maximum_colors;
|
||
|
||
assert(quantize_info != (const QuantizeInfo *) NULL);
|
||
assert(quantize_info->signature == MagickCoreSignature);
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
maximum_colors=quantize_info->number_colors;
|
||
if (maximum_colors == 0)
|
||
maximum_colors=MaxColormapSize;
|
||
if (maximum_colors > MaxColormapSize)
|
||
maximum_colors=MaxColormapSize;
|
||
if (image->alpha_trait != BlendPixelTrait)
|
||
{
|
||
if (SetImageGray(image,exception) != MagickFalse)
|
||
(void) SetGrayscaleImage(image,exception);
|
||
}
|
||
depth=quantize_info->tree_depth;
|
||
if (depth == 0)
|
||
{
|
||
size_t
|
||
colors;
|
||
|
||
/*
|
||
Depth of color tree is: Log4(colormap size)+2.
|
||
*/
|
||
colors=maximum_colors;
|
||
for (depth=1; colors != 0; depth++)
|
||
colors>>=2;
|
||
if ((quantize_info->dither_method != NoDitherMethod) && (depth > 2))
|
||
depth--;
|
||
if ((image->alpha_trait == BlendPixelTrait) && (depth > 5))
|
||
depth--;
|
||
if (SetImageGray(image,exception) != MagickFalse)
|
||
depth=MaxTreeDepth;
|
||
}
|
||
/*
|
||
Initialize color cube.
|
||
*/
|
||
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
status=ClassifyImageColors(cube_info,image,exception);
|
||
if (status != MagickFalse)
|
||
{
|
||
/*
|
||
Reduce the number of colors in the image.
|
||
*/
|
||
if (cube_info->colors > cube_info->maximum_colors)
|
||
ReduceImageColors(image,cube_info);
|
||
status=AssignImageColors(image,cube_info,exception);
|
||
}
|
||
DestroyCubeInfo(cube_info);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% Q u a n t i z e I m a g e s %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% QuantizeImages() analyzes the colors within a set of reference images and
|
||
% chooses a fixed number of colors to represent the set. The goal of the
|
||
% algorithm is to minimize the color difference between the input and output
|
||
% images while minimizing the processing time.
|
||
%
|
||
% The format of the QuantizeImages method is:
|
||
%
|
||
% MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
|
||
% Image *images,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
% o images: Specifies a pointer to a list of Image structures.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
|
||
Image *images,ExceptionInfo *exception)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
Image
|
||
*image;
|
||
|
||
MagickBooleanType
|
||
proceed,
|
||
status;
|
||
|
||
MagickProgressMonitor
|
||
progress_monitor;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
depth,
|
||
maximum_colors,
|
||
number_images;
|
||
|
||
assert(quantize_info != (const QuantizeInfo *) NULL);
|
||
assert(quantize_info->signature == MagickCoreSignature);
|
||
assert(images != (Image *) NULL);
|
||
assert(images->signature == MagickCoreSignature);
|
||
if (images->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (GetNextImageInList(images) == (Image *) NULL)
|
||
{
|
||
/*
|
||
Handle a single image with QuantizeImage.
|
||
*/
|
||
status=QuantizeImage(quantize_info,images,exception);
|
||
return(status);
|
||
}
|
||
status=MagickFalse;
|
||
maximum_colors=quantize_info->number_colors;
|
||
if (maximum_colors == 0)
|
||
maximum_colors=MaxColormapSize;
|
||
if (maximum_colors > MaxColormapSize)
|
||
maximum_colors=MaxColormapSize;
|
||
depth=quantize_info->tree_depth;
|
||
if (depth == 0)
|
||
{
|
||
size_t
|
||
colors;
|
||
|
||
/*
|
||
Depth of color tree is: Log4(colormap size)+2.
|
||
*/
|
||
colors=maximum_colors;
|
||
for (depth=1; colors != 0; depth++)
|
||
colors>>=2;
|
||
if (quantize_info->dither_method != NoDitherMethod)
|
||
depth--;
|
||
}
|
||
/*
|
||
Initialize color cube.
|
||
*/
|
||
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
{
|
||
(void) ThrowMagickException(exception,GetMagickModule(),
|
||
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
|
||
return(MagickFalse);
|
||
}
|
||
number_images=GetImageListLength(images);
|
||
image=images;
|
||
for (i=0; image != (Image *) NULL; i++)
|
||
{
|
||
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor) NULL,
|
||
image->client_data);
|
||
status=ClassifyImageColors(cube_info,image,exception);
|
||
if (status == MagickFalse)
|
||
break;
|
||
(void) SetImageProgressMonitor(image,progress_monitor,image->client_data);
|
||
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
|
||
number_images);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
image=GetNextImageInList(image);
|
||
}
|
||
if (status != MagickFalse)
|
||
{
|
||
/*
|
||
Reduce the number of colors in an image sequence.
|
||
*/
|
||
ReduceImageColors(images,cube_info);
|
||
image=images;
|
||
for (i=0; image != (Image *) NULL; i++)
|
||
{
|
||
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor)
|
||
NULL,image->client_data);
|
||
status=AssignImageColors(image,cube_info,exception);
|
||
if (status == MagickFalse)
|
||
break;
|
||
(void) SetImageProgressMonitor(image,progress_monitor,
|
||
image->client_data);
|
||
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
|
||
number_images);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
image=GetNextImageInList(image);
|
||
}
|
||
}
|
||
DestroyCubeInfo(cube_info);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ Q u a n t i z e E r r o r F l a t t e n %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% QuantizeErrorFlatten() traverses the color cube and flattens the quantization
|
||
% error into a sorted 1D array. This accelerates the color reduction process.
|
||
%
|
||
% Contributed by Yoya.
|
||
%
|
||
% The format of the QuantizeErrorFlatten method is:
|
||
%
|
||
% size_t QuantizeErrorFlatten(const CubeInfo *cube_info,
|
||
% const NodeInfo *node_info,const ssize_t offset,
|
||
% double *quantize_error)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: pointer to node in color cube tree that is current pointer.
|
||
%
|
||
% o offset: quantize error offset.
|
||
%
|
||
% o quantize_error: the quantization error vector.
|
||
%
|
||
*/
|
||
static size_t QuantizeErrorFlatten(const CubeInfo *cube_info,
|
||
const NodeInfo *node_info,const ssize_t offset,double *quantize_error)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
n,
|
||
number_children;
|
||
|
||
if (offset >= (ssize_t) cube_info->nodes)
|
||
return(0);
|
||
quantize_error[offset]=node_info->quantize_error;
|
||
n=1;
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children ; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
n+=QuantizeErrorFlatten(cube_info,node_info->child[i],offset+n,
|
||
quantize_error);
|
||
return(n);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ R e d u c e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% Reduce() traverses the color cube tree and prunes any node whose
|
||
% quantization error falls below a particular threshold.
|
||
%
|
||
% The format of the Reduce method is:
|
||
%
|
||
% Reduce(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o node_info: pointer to node in color cube tree that is to be pruned.
|
||
%
|
||
*/
|
||
static void Reduce(CubeInfo *cube_info,const NodeInfo *node_info)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
number_children;
|
||
|
||
/*
|
||
Traverse any children.
|
||
*/
|
||
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
|
||
for (i=0; i < (ssize_t) number_children; i++)
|
||
if (node_info->child[i] != (NodeInfo *) NULL)
|
||
Reduce(cube_info,node_info->child[i]);
|
||
if (node_info->quantize_error <= cube_info->pruning_threshold)
|
||
PruneChild(cube_info,node_info);
|
||
else
|
||
{
|
||
/*
|
||
Find minimum pruning threshold.
|
||
*/
|
||
if (node_info->number_unique > 0)
|
||
cube_info->colors++;
|
||
if (node_info->quantize_error < cube_info->next_threshold)
|
||
cube_info->next_threshold=node_info->quantize_error;
|
||
}
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ R e d u c e I m a g e C o l o r s %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% ReduceImageColors() repeatedly prunes the tree until the number of nodes
|
||
% with n2 > 0 is less than or equal to the maximum number of colors allowed
|
||
% in the output image. On any given iteration over the tree, it selects
|
||
% those nodes whose E value is minimal for pruning and merges their
|
||
% color statistics upward. It uses a pruning threshold, Ep, to govern
|
||
% node selection as follows:
|
||
%
|
||
% Ep = 0
|
||
% while number of nodes with (n2 > 0) > required maximum number of colors
|
||
% prune all nodes such that E <= Ep
|
||
% Set Ep to minimum E in remaining nodes
|
||
%
|
||
% This has the effect of minimizing any quantization error when merging
|
||
% two nodes together.
|
||
%
|
||
% When a node to be pruned has offspring, the pruning procedure invokes
|
||
% itself recursively in order to prune the tree from the leaves upward.
|
||
% n2, Sr, Sg, and Sb in a node being pruned are always added to the
|
||
% corresponding data in that node's parent. This retains the pruned
|
||
% node's color characteristics for later averaging.
|
||
%
|
||
% For each node, n2 pixels exist for which that node represents the
|
||
% smallest volume in RGB space containing those pixel's colors. When n2
|
||
% > 0 the node will uniquely define a color in the output image. At the
|
||
% beginning of reduction, n2 = 0 for all nodes except a the leaves of
|
||
% the tree which represent colors present in the input image.
|
||
%
|
||
% The other pixel count, n1, indicates the total number of colors
|
||
% within the cubic volume which the node represents. This includes n1 -
|
||
% n2 pixels whose colors should be defined by nodes at a lower level in
|
||
% the tree.
|
||
%
|
||
% The format of the ReduceImageColors method is:
|
||
%
|
||
% ReduceImageColors(const Image *image,CubeInfo *cube_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
*/
|
||
|
||
static int QuantizeErrorCompare(const void *error_p,const void *error_q)
|
||
{
|
||
double
|
||
*p,
|
||
*q;
|
||
|
||
p=(double *) error_p;
|
||
q=(double *) error_q;
|
||
if (*p > *q)
|
||
return(1);
|
||
if (fabs(*q-*p) <= MagickEpsilon)
|
||
return(0);
|
||
return(-1);
|
||
}
|
||
|
||
static void ReduceImageColors(const Image *image,CubeInfo *cube_info)
|
||
{
|
||
#define ReduceImageTag "Reduce/Image"
|
||
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
MagickOffsetType
|
||
offset;
|
||
|
||
size_t
|
||
span;
|
||
|
||
cube_info->next_threshold=0.0;
|
||
if (cube_info->colors > cube_info->maximum_colors)
|
||
{
|
||
double
|
||
*quantize_error;
|
||
|
||
/*
|
||
Enable rapid reduction of the number of unique colors.
|
||
*/
|
||
quantize_error=(double *) AcquireQuantumMemory(cube_info->nodes,
|
||
sizeof(*quantize_error));
|
||
if (quantize_error != (double *) NULL)
|
||
{
|
||
(void) QuantizeErrorFlatten(cube_info,cube_info->root,0,
|
||
quantize_error);
|
||
qsort(quantize_error,cube_info->nodes,sizeof(double),
|
||
QuantizeErrorCompare);
|
||
if (cube_info->nodes > (110*(cube_info->maximum_colors+1)/100))
|
||
cube_info->next_threshold=quantize_error[cube_info->nodes-110*
|
||
(cube_info->maximum_colors+1)/100];
|
||
quantize_error=(double *) RelinquishMagickMemory(quantize_error);
|
||
}
|
||
}
|
||
for (span=cube_info->colors; cube_info->colors > cube_info->maximum_colors; )
|
||
{
|
||
cube_info->pruning_threshold=cube_info->next_threshold;
|
||
cube_info->next_threshold=cube_info->root->quantize_error-1;
|
||
cube_info->colors=0;
|
||
Reduce(cube_info,cube_info->root);
|
||
offset=(MagickOffsetType) span-cube_info->colors;
|
||
proceed=SetImageProgress(image,ReduceImageTag,offset,span-
|
||
cube_info->maximum_colors+1);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
}
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% R e m a p I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% RemapImage() replaces the colors of an image with the closest of the colors
|
||
% from the reference image.
|
||
%
|
||
% The format of the RemapImage method is:
|
||
%
|
||
% MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
|
||
% Image *image,const Image *remap_image,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o remap_image: the reference image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
|
||
Image *image,const Image *remap_image,ExceptionInfo *exception)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
/*
|
||
Initialize color cube.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
assert(remap_image != (Image *) NULL);
|
||
assert(remap_image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
|
||
quantize_info->number_colors);
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
status=ClassifyImageColors(cube_info,remap_image,exception);
|
||
if (status != MagickFalse)
|
||
{
|
||
/*
|
||
Classify image colors from the reference image.
|
||
*/
|
||
cube_info->quantize_info->number_colors=cube_info->colors;
|
||
status=AssignImageColors(image,cube_info,exception);
|
||
}
|
||
DestroyCubeInfo(cube_info);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% R e m a p I m a g e s %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% RemapImages() replaces the colors of a sequence of images with the
|
||
% closest color from a reference image.
|
||
%
|
||
% The format of the RemapImage method is:
|
||
%
|
||
% MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
|
||
% Image *images,Image *remap_image,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
|
||
%
|
||
% o images: the image sequence.
|
||
%
|
||
% o remap_image: the reference image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
|
||
Image *images,const Image *remap_image,ExceptionInfo *exception)
|
||
{
|
||
CubeInfo
|
||
*cube_info;
|
||
|
||
Image
|
||
*image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
assert(images != (Image *) NULL);
|
||
assert(images->signature == MagickCoreSignature);
|
||
if (images->debug != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
image=images;
|
||
if (remap_image == (Image *) NULL)
|
||
{
|
||
/*
|
||
Create a global colormap for an image sequence.
|
||
*/
|
||
status=QuantizeImages(quantize_info,images,exception);
|
||
return(status);
|
||
}
|
||
/*
|
||
Classify image colors from the reference image.
|
||
*/
|
||
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
|
||
quantize_info->number_colors);
|
||
if (cube_info == (CubeInfo *) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
status=ClassifyImageColors(cube_info,remap_image,exception);
|
||
if (status != MagickFalse)
|
||
{
|
||
/*
|
||
Classify image colors from the reference image.
|
||
*/
|
||
cube_info->quantize_info->number_colors=cube_info->colors;
|
||
image=images;
|
||
for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
|
||
{
|
||
status=AssignImageColors(image,cube_info,exception);
|
||
if (status == MagickFalse)
|
||
break;
|
||
}
|
||
}
|
||
DestroyCubeInfo(cube_info);
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% S e t G r a y s c a l e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% SetGrayscaleImage() converts an image to a PseudoClass grayscale image.
|
||
%
|
||
% The format of the SetGrayscaleImage method is:
|
||
%
|
||
% MagickBooleanType SetGrayscaleImage(Image *image,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: The image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
#if defined(__cplusplus) || defined(c_plusplus)
|
||
extern "C" {
|
||
#endif
|
||
|
||
static int IntensityCompare(const void *x,const void *y)
|
||
{
|
||
double
|
||
intensity;
|
||
|
||
PixelInfo
|
||
*color_1,
|
||
*color_2;
|
||
|
||
color_1=(PixelInfo *) x;
|
||
color_2=(PixelInfo *) y;
|
||
intensity=GetPixelInfoIntensity((const Image *) NULL,color_1)-
|
||
GetPixelInfoIntensity((const Image *) NULL,color_2);
|
||
if (intensity < (double) INT_MIN)
|
||
intensity=(double) INT_MIN;
|
||
if (intensity > (double) INT_MAX)
|
||
intensity=(double) INT_MAX;
|
||
return((int) intensity);
|
||
}
|
||
|
||
#if defined(__cplusplus) || defined(c_plusplus)
|
||
}
|
||
#endif
|
||
|
||
static MagickBooleanType SetGrayscaleImage(Image *image,
|
||
ExceptionInfo *exception)
|
||
{
|
||
CacheView
|
||
*image_view;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
PixelInfo
|
||
*colormap;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
extent;
|
||
|
||
ssize_t
|
||
*colormap_index,
|
||
j,
|
||
y;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (image->type != GrayscaleType)
|
||
(void) TransformImageColorspace(image,GRAYColorspace,exception);
|
||
extent=MagickMax(image->colors+1,MagickMax(MaxColormapSize,MaxMap+1));
|
||
colormap_index=(ssize_t *) AcquireQuantumMemory(extent,
|
||
sizeof(*colormap_index));
|
||
if (colormap_index == (ssize_t *) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
if (image->storage_class != PseudoClass)
|
||
{
|
||
(void) memset(colormap_index,(-1),extent*sizeof(*colormap_index));
|
||
if (AcquireImageColormap(image,MaxColormapSize,exception) == MagickFalse)
|
||
{
|
||
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
}
|
||
image->colors=0;
|
||
status=MagickTrue;
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(status) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
|
||
exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
size_t
|
||
intensity;
|
||
|
||
intensity=ScaleQuantumToMap(GetPixelRed(image,q));
|
||
if (colormap_index[intensity] < 0)
|
||
{
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp critical (MagickCore_SetGrayscaleImage)
|
||
#endif
|
||
if (colormap_index[intensity] < 0)
|
||
{
|
||
colormap_index[intensity]=(ssize_t) image->colors;
|
||
image->colormap[image->colors].red=(double)
|
||
GetPixelRed(image,q);
|
||
image->colormap[image->colors].green=(double)
|
||
GetPixelGreen(image,q);
|
||
image->colormap[image->colors].blue=(double)
|
||
GetPixelBlue(image,q);
|
||
image->colors++;
|
||
}
|
||
}
|
||
SetPixelIndex(image,(Quantum) colormap_index[intensity],q);
|
||
q+=GetPixelChannels(image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
}
|
||
(void) memset(colormap_index,0,extent*sizeof(*colormap_index));
|
||
for (i=0; i < (ssize_t) image->colors; i++)
|
||
image->colormap[i].alpha=(double) i;
|
||
qsort((void *) image->colormap,image->colors,sizeof(PixelInfo),
|
||
IntensityCompare);
|
||
colormap=(PixelInfo *) AcquireQuantumMemory(image->colors,sizeof(*colormap));
|
||
if (colormap == (PixelInfo *) NULL)
|
||
{
|
||
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
}
|
||
j=0;
|
||
colormap[j]=image->colormap[0];
|
||
for (i=0; i < (ssize_t) image->colors; i++)
|
||
{
|
||
if (IsPixelInfoEquivalent(&colormap[j],&image->colormap[i]) == MagickFalse)
|
||
{
|
||
j++;
|
||
colormap[j]=image->colormap[i];
|
||
}
|
||
colormap_index[(ssize_t) image->colormap[i].alpha]=j;
|
||
}
|
||
image->colors=(size_t) (j+1);
|
||
image->colormap=(PixelInfo *) RelinquishMagickMemory(image->colormap);
|
||
image->colormap=colormap;
|
||
status=MagickTrue;
|
||
image_view=AcquireAuthenticCacheView(image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(status) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
SetPixelIndex(image,(Quantum) colormap_index[ScaleQuantumToMap(
|
||
GetPixelIndex(image,q))],q);
|
||
q+=GetPixelChannels(image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
image_view=DestroyCacheView(image_view);
|
||
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
|
||
image->type=GrayscaleType;
|
||
if (SetImageMonochrome(image,exception) != MagickFalse)
|
||
image->type=BilevelType;
|
||
return(status);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
+ S e t I m a g e C o l o r m a p %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% SetImageColormap() traverses the color cube tree and sets the colormap of
|
||
% the image. A colormap entry is any node in the color cube tree where the
|
||
% of unique colors is not zero.
|
||
%
|
||
% The format of the SetImageColormap method is:
|
||
%
|
||
% MagickBooleanType SetImageColormap(Image *image,CubeInfo *cube_info,
|
||
% ExceptionInfo *node_info)
|
||
%
|
||
% A description of each parameter follows.
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o cube_info: A pointer to the Cube structure.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
MagickBooleanType SetImageColormap(Image *image,CubeInfo *cube_info,
|
||
ExceptionInfo *exception)
|
||
{
|
||
size_t
|
||
number_colors;
|
||
|
||
number_colors=MagickMax(cube_info->maximum_colors,cube_info->colors);
|
||
if (AcquireImageColormap(image,number_colors,exception) == MagickFalse)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
image->colors=0;
|
||
DefineImageColormap(image,cube_info,cube_info->root);
|
||
if (image->colors != number_colors)
|
||
{
|
||
image->colormap=(PixelInfo *) ResizeQuantumMemory(image->colormap,
|
||
image->colors+1,sizeof(*image->colormap));
|
||
if (image->colormap == (PixelInfo *) NULL)
|
||
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
|
||
image->filename);
|
||
}
|
||
return(MagickTrue);
|
||
}
|