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/* Copyright (c) 1994 Regents of the University of California */ |
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#ifndef lint |
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static char SCCSid[] = "$SunId$ LBL"; |
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static const char RCSid[] = "$Id$"; |
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#endif |
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/* |
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* Neural-Net quantization algorithm based on work of Anthony Dekker |
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*/ |
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#include "standard.h" |
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#include "copyright.h" |
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#include "color.h" |
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#include <string.h> |
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#include "standard.h" |
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#include "color.h" |
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#include "random.h" |
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#ifdef COMPAT_MODE |
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#define setskip(sp,n) ((sp)[0]=(n)>>16,(sp)[1]=((n)>>8)&255,(sp)[2]=(n)&255) |
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static cpyclrtab(); |
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neu_init(npixels) /* initialize our sample array */ |
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long npixels; |
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{ |
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cpyclrtab(); |
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inxbuild(); |
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/* we're done with our samples */ |
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free((char *)thesamples); |
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free((void *)thesamples); |
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/* reset dithering function */ |
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neu_dith_colrs((BYTE *)NULL, (COLR *)NULL, 0); |
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/* return new color table size */ |
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if (n != N) { /* get error propogation array */ |
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if (N) { |
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free((char *)cerr); |
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free((void *)cerr); |
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cerr = NULL; |
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} |
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if (n) |
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return; |
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} |
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N = n; |
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bzero((char *)cerr, 3*N*sizeof(short)); |
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memset((char *)cerr, '\0', 3*N*sizeof(short)); |
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} |
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err[0] = err[1] = err[2] = 0; |
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for (x = 0; x < n; x++) { |
