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@ -73,14 +73,14 @@ |
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* probably need to change these scale factors. |
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*/ |
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#define R_SCALE 2 /* scale R distances by this much */ |
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#define G_SCALE 3 /* scale G distances by this much */ |
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#define B_SCALE 1 /* and B by this much */ |
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#define R_SCALE 2 /* scale R distances by this much */ |
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#define G_SCALE 3 /* scale G distances by this much */ |
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#define B_SCALE 1 /* and B by this much */ |
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static const int c_scales[3]={R_SCALE, G_SCALE, B_SCALE}; |
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#define C0_SCALE c_scales[rgb_red[cinfo->out_color_space]] |
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#define C1_SCALE c_scales[rgb_green[cinfo->out_color_space]] |
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#define C2_SCALE c_scales[rgb_blue[cinfo->out_color_space]] |
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static const int c_scales[3] = { R_SCALE, G_SCALE, B_SCALE }; |
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#define C0_SCALE c_scales[rgb_red[cinfo->out_color_space]] |
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#define C1_SCALE c_scales[rgb_green[cinfo->out_color_space]] |
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#define C2_SCALE c_scales[rgb_blue[cinfo->out_color_space]] |
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/*
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* First we have the histogram data structure and routines for creating it. |
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@ -106,7 +106,7 @@ static const int c_scales[3]={R_SCALE, G_SCALE, B_SCALE}; |
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* each 2-D array has 2^6*2^5 = 2048 or 2^6*2^6 = 4096 entries. |
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*/ |
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#define MAXNUMCOLORS (MAXJSAMPLE+1) /* maximum size of colormap */ |
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#define MAXNUMCOLORS (MAXJSAMPLE + 1) /* maximum size of colormap */ |
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/* These will do the right thing for either R,G,B or B,G,R color order,
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* but you may not like the results for other color orders. |
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@ -116,19 +116,19 @@ static const int c_scales[3]={R_SCALE, G_SCALE, B_SCALE}; |
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#define HIST_C2_BITS 5 /* bits of precision in B/R histogram */ |
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/* Number of elements along histogram axes. */ |
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#define HIST_C0_ELEMS (1<<HIST_C0_BITS) |
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#define HIST_C1_ELEMS (1<<HIST_C1_BITS) |
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#define HIST_C2_ELEMS (1<<HIST_C2_BITS) |
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#define HIST_C0_ELEMS (1 << HIST_C0_BITS) |
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#define HIST_C1_ELEMS (1 << HIST_C1_BITS) |
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#define HIST_C2_ELEMS (1 << HIST_C2_BITS) |
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/* These are the amounts to shift an input value to get a histogram index. */ |
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#define C0_SHIFT (BITS_IN_JSAMPLE-HIST_C0_BITS) |
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#define C1_SHIFT (BITS_IN_JSAMPLE-HIST_C1_BITS) |
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#define C2_SHIFT (BITS_IN_JSAMPLE-HIST_C2_BITS) |
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#define C0_SHIFT (BITS_IN_JSAMPLE - HIST_C0_BITS) |
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#define C1_SHIFT (BITS_IN_JSAMPLE - HIST_C1_BITS) |
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#define C2_SHIFT (BITS_IN_JSAMPLE - HIST_C2_BITS) |
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typedef UINT16 histcell; /* histogram cell; prefer an unsigned type */ |
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typedef histcell *histptr; /* for pointers to histogram cells */ |
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typedef histcell *histptr; /* for pointers to histogram cells */ |
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typedef histcell hist1d[HIST_C2_ELEMS]; /* typedefs for the array */ |
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typedef hist1d *hist2d; /* type for the 2nd-level pointers */ |
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@ -200,10 +200,10 @@ typedef my_cquantizer *my_cquantize_ptr; |
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*/ |
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METHODDEF(void) |
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prescan_quantize (j_decompress_ptr cinfo, JSAMPARRAY input_buf, |
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JSAMPARRAY output_buf, int num_rows) |
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prescan_quantize(j_decompress_ptr cinfo, JSAMPARRAY input_buf, |
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JSAMPARRAY output_buf, int num_rows) |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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register JSAMPROW ptr; |
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register histptr histp; |
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register hist3d histogram = cquantize->histogram; |
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@ -215,9 +215,9 @@ prescan_quantize (j_decompress_ptr cinfo, JSAMPARRAY input_buf, |
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ptr = input_buf[row]; |
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for (col = width; col > 0; col--) { |
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/* get pixel value and index into the histogram */ |
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histp = & histogram[GETJSAMPLE(ptr[0]) >> C0_SHIFT] |
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[GETJSAMPLE(ptr[1]) >> C1_SHIFT] |
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[GETJSAMPLE(ptr[2]) >> C2_SHIFT]; |
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histp = &histogram[GETJSAMPLE(ptr[0]) >> C0_SHIFT] |
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[GETJSAMPLE(ptr[1]) >> C1_SHIFT] |
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[GETJSAMPLE(ptr[2]) >> C2_SHIFT]; |
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/* increment, check for overflow and undo increment if so. */ |
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if (++(*histp) <= 0) |
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(*histp)--; |
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@ -249,7 +249,7 @@ typedef box *boxptr; |
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LOCAL(boxptr) |
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find_biggest_color_pop (boxptr boxlist, int numboxes) |
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find_biggest_color_pop(boxptr boxlist, int numboxes) |
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/* Find the splittable box with the largest color population */ |
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/* Returns NULL if no splittable boxes remain */ |
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{ |
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@ -269,7 +269,7 @@ find_biggest_color_pop (boxptr boxlist, int numboxes) |
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LOCAL(boxptr) |
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find_biggest_volume (boxptr boxlist, int numboxes) |
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find_biggest_volume(boxptr boxlist, int numboxes) |
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/* Find the splittable box with the largest (scaled) volume */ |
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/* Returns NULL if no splittable boxes remain */ |
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{ |
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@ -289,16 +289,16 @@ find_biggest_volume (boxptr boxlist, int numboxes) |
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LOCAL(void) |
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update_box (j_decompress_ptr cinfo, boxptr boxp) |
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update_box(j_decompress_ptr cinfo, boxptr boxp) |
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/* Shrink the min/max bounds of a box to enclose only nonzero elements, */ |
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/* and recompute its volume and population */ |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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hist3d histogram = cquantize->histogram; |
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histptr histp; |
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int c0,c1,c2; |
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int c0min,c0max,c1min,c1max,c2min,c2max; |
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JLONG dist0,dist1,dist2; |
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int c0, c1, c2; |
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int c0min, c0max, c1min, c1max, c2min, c2max; |
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JLONG dist0, dist1, dist2; |
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long ccount; |
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c0min = boxp->c0min; c0max = boxp->c0max; |
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@ -308,69 +308,69 @@ update_box (j_decompress_ptr cinfo, boxptr boxp) |
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if (c0max > c0min) |
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for (c0 = c0min; c0 <= c0max; c0++) |
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for (c1 = c1min; c1 <= c1max; c1++) { |
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histp = & histogram[c0][c1][c2min]; |
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histp = &histogram[c0][c1][c2min]; |
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for (c2 = c2min; c2 <= c2max; c2++) |
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if (*histp++ != 0) { |
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boxp->c0min = c0min = c0; |
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goto have_c0min; |
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} |
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} |
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have_c0min: |
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have_c0min: |
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if (c0max > c0min) |
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for (c0 = c0max; c0 >= c0min; c0--) |
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for (c1 = c1min; c1 <= c1max; c1++) { |
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histp = & histogram[c0][c1][c2min]; |
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histp = &histogram[c0][c1][c2min]; |
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for (c2 = c2min; c2 <= c2max; c2++) |
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if (*histp++ != 0) { |
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boxp->c0max = c0max = c0; |
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goto have_c0max; |
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} |
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} |
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have_c0max: |
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have_c0max: |
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if (c1max > c1min) |
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for (c1 = c1min; c1 <= c1max; c1++) |
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for (c0 = c0min; c0 <= c0max; c0++) { |
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histp = & histogram[c0][c1][c2min]; |
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histp = &histogram[c0][c1][c2min]; |
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for (c2 = c2min; c2 <= c2max; c2++) |
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if (*histp++ != 0) { |
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boxp->c1min = c1min = c1; |
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goto have_c1min; |
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} |
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} |
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have_c1min: |
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have_c1min: |
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if (c1max > c1min) |
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for (c1 = c1max; c1 >= c1min; c1--) |
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for (c0 = c0min; c0 <= c0max; c0++) { |
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histp = & histogram[c0][c1][c2min]; |
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histp = &histogram[c0][c1][c2min]; |
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for (c2 = c2min; c2 <= c2max; c2++) |
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|
if (*histp++ != 0) { |
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boxp->c1max = c1max = c1; |
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goto have_c1max; |
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} |
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} |
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have_c1max: |
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have_c1max: |
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if (c2max > c2min) |
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for (c2 = c2min; c2 <= c2max; c2++) |
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|
for (c0 = c0min; c0 <= c0max; c0++) { |
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histp = & histogram[c0][c1min][c2]; |
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|
histp = &histogram[c0][c1min][c2]; |
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for (c1 = c1min; c1 <= c1max; c1++, histp += HIST_C2_ELEMS) |
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|
if (*histp != 0) { |
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boxp->c2min = c2min = c2; |
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goto have_c2min; |
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} |
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} |
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have_c2min: |
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have_c2min: |
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if (c2max > c2min) |
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for (c2 = c2max; c2 >= c2min; c2--) |
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for (c0 = c0min; c0 <= c0max; c0++) { |
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histp = & histogram[c0][c1min][c2]; |
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histp = &histogram[c0][c1min][c2]; |
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for (c1 = c1min; c1 <= c1max; c1++, histp += HIST_C2_ELEMS) |
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if (*histp != 0) { |
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|
boxp->c2max = c2max = c2; |
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goto have_c2max; |
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} |
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} |
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|
have_c2max: |
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have_c2max: |
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|
/* Update box volume.
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|
* We use 2-norm rather than real volume here; this biases the method |
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@ -383,13 +383,13 @@ update_box (j_decompress_ptr cinfo, boxptr boxp) |
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dist0 = ((c0max - c0min) << C0_SHIFT) * C0_SCALE; |
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dist1 = ((c1max - c1min) << C1_SHIFT) * C1_SCALE; |
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|
dist2 = ((c2max - c2min) << C2_SHIFT) * C2_SCALE; |
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|
boxp->volume = dist0*dist0 + dist1*dist1 + dist2*dist2; |
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|
boxp->volume = dist0 * dist0 + dist1 * dist1 + dist2 * dist2; |
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|
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|
|
/* Now scan remaining volume of box and compute population */ |
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|
ccount = 0; |
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|
for (c0 = c0min; c0 <= c0max; c0++) |
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|
for (c1 = c1min; c1 <= c1max; c1++) { |
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histp = & histogram[c0][c1][c2min]; |
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|
histp = &histogram[c0][c1][c2min]; |
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|
for (c2 = c2min; c2 <= c2max; c2++, histp++) |
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if (*histp != 0) { |
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|
ccount++; |
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@ -400,19 +400,19 @@ update_box (j_decompress_ptr cinfo, boxptr boxp) |
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LOCAL(int) |
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|
|
median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
|
int desired_colors) |
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|
|
median_cut(j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
|
int desired_colors) |
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|
|
/* Repeatedly select and split the largest box until we have enough boxes */ |
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|
|
{ |
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|
|
int n,lb; |
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|
|
int c0,c1,c2,cmax; |
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|
|
register boxptr b1,b2; |
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|
|
int n, lb; |
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|
|
int c0, c1, c2, cmax; |
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|
|
register boxptr b1, b2; |
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|
|
|
|
|
|
|
while (numboxes < desired_colors) { |
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|
|
/* Select box to split.
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|
|
|
* Current algorithm: by population for first half, then by volume. |
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|
*/ |
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|
|
if (numboxes*2 <= desired_colors) { |
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|
|
if (numboxes * 2 <= desired_colors) { |
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|
|
b1 = find_biggest_color_pop(boxlist, numboxes); |
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|
|
} else { |
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|
|
b1 = find_biggest_volume(boxlist, numboxes); |
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|
|
@ -421,8 +421,8 @@ median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
|
break; |
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|
|
b2 = &boxlist[numboxes]; /* where new box will go */ |
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|
|
/* Copy the color bounds to the new box. */ |
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|
|
b2->c0max = b1->c0max; b2->c1max = b1->c1max; b2->c2max = b1->c2max; |
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|
|
b2->c0min = b1->c0min; b2->c1min = b1->c1min; b2->c2min = b1->c2min; |
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|
|
b2->c0max = b1->c0max; b2->c1max = b1->c1max; b2->c2max = b1->c2max; |
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|
|
b2->c0min = b1->c0min; b2->c1min = b1->c1min; b2->c2min = b1->c2min; |
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|
|
/* Choose which axis to split the box on.
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|
|
|
|
* Current algorithm: longest scaled axis. |
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|
|
|
* See notes in update_box about scaling distances. |
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|
|
@ -434,13 +434,12 @@ median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
|
|
* This code does the right thing for R,G,B or B,G,R color orders only. |
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|
|
|
*/ |
|
|
|
|
if (rgb_red[cinfo->out_color_space] == 0) { |
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|
|
cmax = c1; n = 1; |
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|
|
if (c0 > cmax) { cmax = c0; n = 0; } |
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|
|
cmax = c1; n = 1; |
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|
|
if (c0 > cmax) { cmax = c0; n = 0; } |
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|
|
if (c2 > cmax) { n = 2; } |
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|
|
} |
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|
else { |
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|
|
cmax = c1; n = 1; |
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|
|
if (c2 > cmax) { cmax = c2; n = 2; } |
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|
|
} else { |
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|
|
cmax = c1; n = 1; |
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|
|
if (c2 > cmax) { cmax = c2; n = 2; } |
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|
|
if (c0 > cmax) { n = 0; } |
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|
|
} |
|
|
|
|
/* Choose split point along selected axis, and update box bounds.
|
|
|
|
@ -453,17 +452,17 @@ median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
|
|
case 0: |
|
|
|
|
lb = (b1->c0max + b1->c0min) / 2; |
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|
|
b1->c0max = lb; |
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|
|
b2->c0min = lb+1; |
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|
|
b2->c0min = lb + 1; |
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|
|
break; |
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|
|
|
case 1: |
|
|
|
|
lb = (b1->c1max + b1->c1min) / 2; |
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|
|
|
b1->c1max = lb; |
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|
|
b2->c1min = lb+1; |
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|
|
b2->c1min = lb + 1; |
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|
|
break; |
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|
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|
case 2: |
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|
lb = (b1->c2max + b1->c2min) / 2; |
|
|
|
|
b1->c2max = lb; |
|
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|
b2->c2min = lb+1; |
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|
b2->c2min = lb + 1; |
|
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|
break; |
|
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|
} |
|
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|
/* Update stats for boxes */ |
|
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|
@ -476,16 +475,16 @@ median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes, |
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|
LOCAL(void) |
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|
compute_color (j_decompress_ptr cinfo, boxptr boxp, int icolor) |
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|
compute_color(j_decompress_ptr cinfo, boxptr boxp, int icolor) |
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|
/* Compute representative color for a box, put it in colormap[icolor] */ |
|
|
|
|
{ |
|
|
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|
/* Current algorithm: mean weighted by pixels (not colors) */ |
|
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|
/* Note it is important to get the rounding correct! */ |
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|
my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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|
my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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|
hist3d histogram = cquantize->histogram; |
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|
histptr histp; |
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|
int c0,c1,c2; |
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int c0min,c0max,c1min,c1max,c2min,c2max; |
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|
int c0, c1, c2; |
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int c0min, c0max, c1min, c1max, c2min, c2max; |
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long count; |
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long total = 0; |
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long c0total = 0; |
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@ -498,25 +497,25 @@ compute_color (j_decompress_ptr cinfo, boxptr boxp, int icolor) |
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for (c0 = c0min; c0 <= c0max; c0++) |
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for (c1 = c1min; c1 <= c1max; c1++) { |
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histp = & histogram[c0][c1][c2min]; |
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histp = &histogram[c0][c1][c2min]; |
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for (c2 = c2min; c2 <= c2max; c2++) { |
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|
if ((count = *histp++) != 0) { |
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total += count; |
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|
c0total += ((c0 << C0_SHIFT) + ((1<<C0_SHIFT)>>1)) * count; |
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c1total += ((c1 << C1_SHIFT) + ((1<<C1_SHIFT)>>1)) * count; |
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|
c2total += ((c2 << C2_SHIFT) + ((1<<C2_SHIFT)>>1)) * count; |
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|
c0total += ((c0 << C0_SHIFT) + ((1 << C0_SHIFT) >> 1)) * count; |
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c1total += ((c1 << C1_SHIFT) + ((1 << C1_SHIFT) >> 1)) * count; |
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|
c2total += ((c2 << C2_SHIFT) + ((1 << C2_SHIFT) >> 1)) * count; |
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|
} |
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|
} |
|
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|
} |
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|
cinfo->colormap[0][icolor] = (JSAMPLE) ((c0total + (total>>1)) / total); |
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|
cinfo->colormap[1][icolor] = (JSAMPLE) ((c1total + (total>>1)) / total); |
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|
cinfo->colormap[2][icolor] = (JSAMPLE) ((c2total + (total>>1)) / total); |
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|
cinfo->colormap[0][icolor] = (JSAMPLE)((c0total + (total >> 1)) / total); |
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|
cinfo->colormap[1][icolor] = (JSAMPLE)((c1total + (total >> 1)) / total); |
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|
cinfo->colormap[2][icolor] = (JSAMPLE)((c2total + (total >> 1)) / total); |
|
|
|
|
} |
|
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|
|
|
LOCAL(void) |
|
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|
|
select_colors (j_decompress_ptr cinfo, int desired_colors) |
|
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|
|
select_colors(j_decompress_ptr cinfo, int desired_colors) |
|
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|
|
/* Master routine for color selection */ |
|
|
|
|
{ |
|
|
|
|
boxptr boxlist; |
|
|
|
@ -524,8 +523,8 @@ select_colors (j_decompress_ptr cinfo, int desired_colors) |
|
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|
|
int i; |
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|
|
/* Allocate workspace for box list */ |
|
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|
|
boxlist = (boxptr) (*cinfo->mem->alloc_small) |
|
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|
|
((j_common_ptr) cinfo, JPOOL_IMAGE, desired_colors * sizeof(box)); |
|
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|
|
boxlist = (boxptr)(*cinfo->mem->alloc_small) |
|
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|
|
((j_common_ptr)cinfo, JPOOL_IMAGE, desired_colors * sizeof(box)); |
|
|
|
|
/* Initialize one box containing whole space */ |
|
|
|
|
numboxes = 1; |
|
|
|
|
boxlist[0].c0min = 0; |
|
|
|
@ -535,12 +534,12 @@ select_colors (j_decompress_ptr cinfo, int desired_colors) |
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|
|
boxlist[0].c2min = 0; |
|
|
|
|
boxlist[0].c2max = MAXJSAMPLE >> C2_SHIFT; |
|
|
|
|
/* Shrink it to actually-used volume and set its statistics */ |
|
|
|
|
update_box(cinfo, & boxlist[0]); |
|
|
|
|
update_box(cinfo, &boxlist[0]); |
|
|
|
|
/* Perform median-cut to produce final box list */ |
|
|
|
|
numboxes = median_cut(cinfo, boxlist, numboxes, desired_colors); |
|
|
|
|
/* Compute the representative color for each box, fill colormap */ |
|
|
|
|
for (i = 0; i < numboxes; i++) |
|
|
|
|
compute_color(cinfo, & boxlist[i], i); |
|
|
|
|
compute_color(cinfo, &boxlist[i], i); |
|
|
|
|
cinfo->actual_number_of_colors = numboxes; |
|
|
|
|
TRACEMS1(cinfo, 1, JTRC_QUANT_SELECTED, numboxes); |
|
|
|
|
} |
|
|
|
@ -601,13 +600,13 @@ select_colors (j_decompress_ptr cinfo, int desired_colors) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
/* log2(histogram cells in update box) for each axis; this can be adjusted */ |
|
|
|
|
#define BOX_C0_LOG (HIST_C0_BITS-3) |
|
|
|
|
#define BOX_C1_LOG (HIST_C1_BITS-3) |
|
|
|
|
#define BOX_C2_LOG (HIST_C2_BITS-3) |
|
|
|
|
#define BOX_C0_LOG (HIST_C0_BITS - 3) |
|
|
|
|
#define BOX_C1_LOG (HIST_C1_BITS - 3) |
|
|
|
|
#define BOX_C2_LOG (HIST_C2_BITS - 3) |
|
|
|
|
|
|
|
|
|
#define BOX_C0_ELEMS (1<<BOX_C0_LOG) /* # of hist cells in update box */ |
|
|
|
|
#define BOX_C1_ELEMS (1<<BOX_C1_LOG) |
|
|
|
|
#define BOX_C2_ELEMS (1<<BOX_C2_LOG) |
|
|
|
|
#define BOX_C0_ELEMS (1 << BOX_C0_LOG) /* # of hist cells in update box */ |
|
|
|
|
#define BOX_C1_ELEMS (1 << BOX_C1_LOG) |
|
|
|
|
#define BOX_C2_ELEMS (1 << BOX_C2_LOG) |
|
|
|
|
|
|
|
|
|
#define BOX_C0_SHIFT (C0_SHIFT + BOX_C0_LOG) |
|
|
|
|
#define BOX_C1_SHIFT (C1_SHIFT + BOX_C1_LOG) |
|
|
|
@ -623,8 +622,8 @@ select_colors (j_decompress_ptr cinfo, int desired_colors) |
|
|
|
|
*/ |
|
|
|
|
|
|
|
|
|
LOCAL(int) |
|
|
|
|
find_nearby_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
JSAMPLE colorlist[]) |
|
|
|
|
find_nearby_colors(j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
JSAMPLE colorlist[]) |
|
|
|
|
/* Locate the colormap entries close enough to an update box to be candidates
|
|
|
|
|
* for the nearest entry to some cell(s) in the update box. The update box |
|
|
|
|
* is specified by the center coordinates of its first cell. The number of |
|
|
|
@ -669,67 +668,67 @@ find_nearby_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
x = GETJSAMPLE(cinfo->colormap[0][i]); |
|
|
|
|
if (x < minc0) { |
|
|
|
|
tdist = (x - minc0) * C0_SCALE; |
|
|
|
|
min_dist = tdist*tdist; |
|
|
|
|
min_dist = tdist * tdist; |
|
|
|
|
tdist = (x - maxc0) * C0_SCALE; |
|
|
|
|
max_dist = tdist*tdist; |
|
|
|
|
max_dist = tdist * tdist; |
|
|
|
|
} else if (x > maxc0) { |
|
|
|
|
tdist = (x - maxc0) * C0_SCALE; |
|
|
|
|
min_dist = tdist*tdist; |
|
|
|
|
min_dist = tdist * tdist; |
|
|
|
|
tdist = (x - minc0) * C0_SCALE; |
|
|
|
|
max_dist = tdist*tdist; |
|
|
|
|
max_dist = tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
/* within cell range so no contribution to min_dist */ |
|
|
|
|
min_dist = 0; |
|
|
|
|
if (x <= centerc0) { |
|
|
|
|
tdist = (x - maxc0) * C0_SCALE; |
|
|
|
|
max_dist = tdist*tdist; |
|
|
|
|
max_dist = tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
tdist = (x - minc0) * C0_SCALE; |
|
|
|
|
max_dist = tdist*tdist; |
|
|
|
|
max_dist = tdist * tdist; |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
x = GETJSAMPLE(cinfo->colormap[1][i]); |
|
|
|
|
if (x < minc1) { |
|
|
|
|
tdist = (x - minc1) * C1_SCALE; |
|
|
|
|
min_dist += tdist*tdist; |
|
|
|
|
min_dist += tdist * tdist; |
|
|
|
|
tdist = (x - maxc1) * C1_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else if (x > maxc1) { |
|
|
|
|
tdist = (x - maxc1) * C1_SCALE; |
|
|
|
|
min_dist += tdist*tdist; |
|
|
|
|
min_dist += tdist * tdist; |
|
|
|
|
tdist = (x - minc1) * C1_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
/* within cell range so no contribution to min_dist */ |
|
|
|
|
if (x <= centerc1) { |
|
|
|
|
tdist = (x - maxc1) * C1_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
tdist = (x - minc1) * C1_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
x = GETJSAMPLE(cinfo->colormap[2][i]); |
|
|
|
|
if (x < minc2) { |
|
|
|
|
tdist = (x - minc2) * C2_SCALE; |
|
|
|
|
min_dist += tdist*tdist; |
|
|
|
|
min_dist += tdist * tdist; |
|
|
|
|
tdist = (x - maxc2) * C2_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else if (x > maxc2) { |
|
|
|
|
tdist = (x - maxc2) * C2_SCALE; |
|
|
|
|
min_dist += tdist*tdist; |
|
|
|
|
min_dist += tdist * tdist; |
|
|
|
|
tdist = (x - minc2) * C2_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
/* within cell range so no contribution to min_dist */ |
|
|
|
|
if (x <= centerc2) { |
|
|
|
|
tdist = (x - maxc2) * C2_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} else { |
|
|
|
|
tdist = (x - minc2) * C2_SCALE; |
|
|
|
|
max_dist += tdist*tdist; |
|
|
|
|
max_dist += tdist * tdist; |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
@ -745,15 +744,15 @@ find_nearby_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
ncolors = 0; |
|
|
|
|
for (i = 0; i < numcolors; i++) { |
|
|
|
|
if (mindist[i] <= minmaxdist) |
|
|
|
|
colorlist[ncolors++] = (JSAMPLE) i; |
|
|
|
|
colorlist[ncolors++] = (JSAMPLE)i; |
|
|
|
|
} |
|
|
|
|
return ncolors; |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
LOCAL(void) |
|
|
|
|
find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
int numcolors, JSAMPLE colorlist[], JSAMPLE bestcolor[]) |
|
|
|
|
find_best_colors(j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
int numcolors, JSAMPLE colorlist[], JSAMPLE bestcolor[]) |
|
|
|
|
/* Find the closest colormap entry for each cell in the update box,
|
|
|
|
|
* given the list of candidate colors prepared by find_nearby_colors. |
|
|
|
|
* Return the indexes of the closest entries in the bestcolor[] array. |
|
|
|
@ -775,7 +774,7 @@ find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
|
|
|
|
|
/* Initialize best-distance for each cell of the update box */ |
|
|
|
|
bptr = bestdist; |
|
|
|
|
for (i = BOX_C0_ELEMS*BOX_C1_ELEMS*BOX_C2_ELEMS-1; i >= 0; i--) |
|
|
|
|
for (i = BOX_C0_ELEMS * BOX_C1_ELEMS * BOX_C2_ELEMS - 1; i >= 0; i--) |
|
|
|
|
*bptr++ = 0x7FFFFFFFL; |
|
|
|
|
|
|
|
|
|
/* For each color selected by find_nearby_colors,
|
|
|
|
@ -792,11 +791,11 @@ find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
icolor = GETJSAMPLE(colorlist[i]); |
|
|
|
|
/* Compute (square of) distance from minc0/c1/c2 to this color */ |
|
|
|
|
inc0 = (minc0 - GETJSAMPLE(cinfo->colormap[0][icolor])) * C0_SCALE; |
|
|
|
|
dist0 = inc0*inc0; |
|
|
|
|
dist0 = inc0 * inc0; |
|
|
|
|
inc1 = (minc1 - GETJSAMPLE(cinfo->colormap[1][icolor])) * C1_SCALE; |
|
|
|
|
dist0 += inc1*inc1; |
|
|
|
|
dist0 += inc1 * inc1; |
|
|
|
|
inc2 = (minc2 - GETJSAMPLE(cinfo->colormap[2][icolor])) * C2_SCALE; |
|
|
|
|
dist0 += inc2*inc2; |
|
|
|
|
dist0 += inc2 * inc2; |
|
|
|
|
/* Form the initial difference increments */ |
|
|
|
|
inc0 = inc0 * (2 * STEP_C0) + STEP_C0 * STEP_C0; |
|
|
|
|
inc1 = inc1 * (2 * STEP_C1) + STEP_C1 * STEP_C1; |
|
|
|
@ -805,16 +804,16 @@ find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
bptr = bestdist; |
|
|
|
|
cptr = bestcolor; |
|
|
|
|
xx0 = inc0; |
|
|
|
|
for (ic0 = BOX_C0_ELEMS-1; ic0 >= 0; ic0--) { |
|
|
|
|
for (ic0 = BOX_C0_ELEMS - 1; ic0 >= 0; ic0--) { |
|
|
|
|
dist1 = dist0; |
|
|
|
|
xx1 = inc1; |
|
|
|
|
for (ic1 = BOX_C1_ELEMS-1; ic1 >= 0; ic1--) { |
|
|
|
|
for (ic1 = BOX_C1_ELEMS - 1; ic1 >= 0; ic1--) { |
|
|
|
|
dist2 = dist1; |
|
|
|
|
xx2 = inc2; |
|
|
|
|
for (ic2 = BOX_C2_ELEMS-1; ic2 >= 0; ic2--) { |
|
|
|
|
for (ic2 = BOX_C2_ELEMS - 1; ic2 >= 0; ic2--) { |
|
|
|
|
if (dist2 < *bptr) { |
|
|
|
|
*bptr = dist2; |
|
|
|
|
*cptr = (JSAMPLE) icolor; |
|
|
|
|
*cptr = (JSAMPLE)icolor; |
|
|
|
|
} |
|
|
|
|
dist2 += xx2; |
|
|
|
|
xx2 += 2 * STEP_C2 * STEP_C2; |
|
|
|
@ -832,12 +831,12 @@ find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2, |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
LOCAL(void) |
|
|
|
|
fill_inverse_cmap (j_decompress_ptr cinfo, int c0, int c1, int c2) |
|
|
|
|
fill_inverse_cmap(j_decompress_ptr cinfo, int c0, int c1, int c2) |
|
|
|
|
/* Fill the inverse-colormap entries in the update box that contains */ |
|
|
|
|
/* histogram cell c0/c1/c2. (Only that one cell MUST be filled, but */ |
|
|
|
|
/* we can fill as many others as we wish.) */ |
|
|
|
|
{ |
|
|
|
|
my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
|
|
|
|
my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
|
|
|
|
hist3d histogram = cquantize->histogram; |
|
|
|
|
int minc0, minc1, minc2; /* lower left corner of update box */ |
|
|
|
|
int ic0, ic1, ic2; |
|
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@ -878,9 +877,9 @@ fill_inverse_cmap (j_decompress_ptr cinfo, int c0, int c1, int c2) |
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cptr = bestcolor; |
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for (ic0 = 0; ic0 < BOX_C0_ELEMS; ic0++) { |
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for (ic1 = 0; ic1 < BOX_C1_ELEMS; ic1++) { |
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cachep = & histogram[c0+ic0][c1+ic1][c2]; |
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cachep = &histogram[c0 + ic0][c1 + ic1][c2]; |
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for (ic2 = 0; ic2 < BOX_C2_ELEMS; ic2++) { |
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*cachep++ = (histcell) (GETJSAMPLE(*cptr++) + 1); |
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*cachep++ = (histcell)(GETJSAMPLE(*cptr++) + 1); |
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} |
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} |
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} |
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@ -892,11 +891,11 @@ fill_inverse_cmap (j_decompress_ptr cinfo, int c0, int c1, int c2) |
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*/ |
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METHODDEF(void) |
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pass2_no_dither (j_decompress_ptr cinfo, |
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JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows) |
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pass2_no_dither(j_decompress_ptr cinfo, JSAMPARRAY input_buf, |
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JSAMPARRAY output_buf, int num_rows) |
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/* This version performs no dithering */ |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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hist3d histogram = cquantize->histogram; |
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register JSAMPROW inptr, outptr; |
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register histptr cachep; |
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@ -913,24 +912,24 @@ pass2_no_dither (j_decompress_ptr cinfo, |
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c0 = GETJSAMPLE(*inptr++) >> C0_SHIFT; |
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c1 = GETJSAMPLE(*inptr++) >> C1_SHIFT; |
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c2 = GETJSAMPLE(*inptr++) >> C2_SHIFT; |
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cachep = & histogram[c0][c1][c2]; |
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cachep = &histogram[c0][c1][c2]; |
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/* If we have not seen this color before, find nearest colormap entry */ |
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/* and update the cache */ |
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if (*cachep == 0) |
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fill_inverse_cmap(cinfo, c0,c1,c2); |
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fill_inverse_cmap(cinfo, c0, c1, c2); |
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/* Now emit the colormap index for this cell */ |
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*outptr++ = (JSAMPLE) (*cachep - 1); |
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*outptr++ = (JSAMPLE)(*cachep - 1); |
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} |
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} |
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} |
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METHODDEF(void) |
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pass2_fs_dither (j_decompress_ptr cinfo, |
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JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows) |
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pass2_fs_dither(j_decompress_ptr cinfo, JSAMPARRAY input_buf, |
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JSAMPARRAY output_buf, int num_rows) |
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/* This version performs Floyd-Steinberg dithering */ |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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hist3d histogram = cquantize->histogram; |
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register LOCFSERROR cur0, cur1, cur2; /* current error or pixel value */ |
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LOCFSERROR belowerr0, belowerr1, belowerr2; /* error for pixel below cur */ |
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@ -956,11 +955,11 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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outptr = output_buf[row]; |
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if (cquantize->on_odd_row) { |
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/* work right to left in this row */ |
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inptr += (width-1) * 3; /* so point to rightmost pixel */ |
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outptr += width-1; |
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inptr += (width - 1) * 3; /* so point to rightmost pixel */ |
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outptr += width - 1; |
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dir = -1; |
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dir3 = -3; |
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errorptr = cquantize->fserrors + (width+1)*3; /* => entry after last column */ |
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errorptr = cquantize->fserrors + (width + 1) * 3; /* => entry after last column */ |
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cquantize->on_odd_row = FALSE; /* flip for next time */ |
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} else { |
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/* work left to right in this row */ |
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@ -984,9 +983,9 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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* for either sign of the error value. |
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* Note: errorptr points to *previous* column's array entry. |
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*/ |
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cur0 = RIGHT_SHIFT(cur0 + errorptr[dir3+0] + 8, 4); |
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cur1 = RIGHT_SHIFT(cur1 + errorptr[dir3+1] + 8, 4); |
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cur2 = RIGHT_SHIFT(cur2 + errorptr[dir3+2] + 8, 4); |
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cur0 = RIGHT_SHIFT(cur0 + errorptr[dir3 + 0] + 8, 4); |
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cur1 = RIGHT_SHIFT(cur1 + errorptr[dir3 + 1] + 8, 4); |
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cur2 = RIGHT_SHIFT(cur2 + errorptr[dir3 + 2] + 8, 4); |
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/* Limit the error using transfer function set by init_error_limit.
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* See comments with init_error_limit for rationale. |
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*/ |
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@ -1004,14 +1003,17 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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cur1 = GETJSAMPLE(range_limit[cur1]); |
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cur2 = GETJSAMPLE(range_limit[cur2]); |
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/* Index into the cache with adjusted pixel value */ |
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cachep = & histogram[cur0>>C0_SHIFT][cur1>>C1_SHIFT][cur2>>C2_SHIFT]; |
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cachep = |
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&histogram[cur0 >> C0_SHIFT][cur1 >> C1_SHIFT][cur2 >> C2_SHIFT]; |
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/* If we have not seen this color before, find nearest colormap */ |
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/* entry and update the cache */ |
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if (*cachep == 0) |
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fill_inverse_cmap(cinfo, cur0>>C0_SHIFT,cur1>>C1_SHIFT,cur2>>C2_SHIFT); |
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fill_inverse_cmap(cinfo, cur0 >> C0_SHIFT, cur1 >> C1_SHIFT, |
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cur2 >> C2_SHIFT); |
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/* Now emit the colormap index for this cell */ |
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{ register int pixcode = *cachep - 1; |
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*outptr = (JSAMPLE) pixcode; |
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{ |
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register int pixcode = *cachep - 1; |
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*outptr = (JSAMPLE)pixcode; |
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/* Compute representation error for this pixel */ |
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cur0 -= GETJSAMPLE(colormap0[pixcode]); |
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cur1 -= GETJSAMPLE(colormap1[pixcode]); |
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@ -1021,20 +1023,21 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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* Add these into the running sums, and simultaneously shift the |
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* next-line error sums left by 1 column. |
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*/ |
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{ register LOCFSERROR bnexterr; |
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{ |
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register LOCFSERROR bnexterr; |
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bnexterr = cur0; /* Process component 0 */ |
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errorptr[0] = (FSERROR) (bpreverr0 + cur0 * 3); |
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errorptr[0] = (FSERROR)(bpreverr0 + cur0 * 3); |
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bpreverr0 = belowerr0 + cur0 * 5; |
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belowerr0 = bnexterr; |
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cur0 *= 7; |
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bnexterr = cur1; /* Process component 1 */ |
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errorptr[1] = (FSERROR) (bpreverr1 + cur1 * 3); |
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errorptr[1] = (FSERROR)(bpreverr1 + cur1 * 3); |
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bpreverr1 = belowerr1 + cur1 * 5; |
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belowerr1 = bnexterr; |
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cur1 *= 7; |
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bnexterr = cur2; /* Process component 2 */ |
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errorptr[2] = (FSERROR) (bpreverr2 + cur2 * 3); |
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errorptr[2] = (FSERROR)(bpreverr2 + cur2 * 3); |
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bpreverr2 = belowerr2 + cur2 * 5; |
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belowerr2 = bnexterr; |
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cur2 *= 7; |
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@ -1051,9 +1054,9 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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* final fserrors[] entry. Note we need not unload belowerrN because |
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* it is for the dummy column before or after the actual array. |
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*/ |
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errorptr[0] = (FSERROR) bpreverr0; /* unload prev errs into array */ |
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errorptr[1] = (FSERROR) bpreverr1; |
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errorptr[2] = (FSERROR) bpreverr2; |
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errorptr[0] = (FSERROR)bpreverr0; /* unload prev errs into array */ |
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errorptr[1] = (FSERROR)bpreverr1; |
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errorptr[2] = (FSERROR)bpreverr2; |
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} |
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} |
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@ -1076,31 +1079,31 @@ pass2_fs_dither (j_decompress_ptr cinfo, |
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*/ |
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LOCAL(void) |
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init_error_limit (j_decompress_ptr cinfo) |
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init_error_limit(j_decompress_ptr cinfo) |
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/* Allocate and fill in the error_limiter table */ |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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int *table; |
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int in, out; |
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table = (int *) (*cinfo->mem->alloc_small) |
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((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE*2+1) * sizeof(int)); |
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table = (int *)(*cinfo->mem->alloc_small) |
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((j_common_ptr)cinfo, JPOOL_IMAGE, (MAXJSAMPLE * 2 + 1) * sizeof(int)); |
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table += MAXJSAMPLE; /* so can index -MAXJSAMPLE .. +MAXJSAMPLE */ |
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cquantize->error_limiter = table; |
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#define STEPSIZE ((MAXJSAMPLE+1)/16) |
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#define STEPSIZE ((MAXJSAMPLE + 1) / 16) |
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/* Map errors 1:1 up to +- MAXJSAMPLE/16 */ |
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out = 0; |
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for (in = 0; in < STEPSIZE; in++, out++) { |
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table[in] = out; table[-in] = -out; |
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table[in] = out; table[-in] = -out; |
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} |
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/* Map errors 1:2 up to +- 3*MAXJSAMPLE/16 */ |
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for (; in < STEPSIZE*3; in++, out += (in&1) ? 0 : 1) { |
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table[in] = out; table[-in] = -out; |
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for (; in < STEPSIZE * 3; in++, out += (in & 1) ? 0 : 1) { |
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table[in] = out; table[-in] = -out; |
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} |
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/* Clamp the rest to final out value (which is (MAXJSAMPLE+1)/8) */ |
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for (; in <= MAXJSAMPLE; in++) { |
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table[in] = out; table[-in] = -out; |
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table[in] = out; table[-in] = -out; |
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} |
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#undef STEPSIZE |
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} |
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@ -1111,9 +1114,9 @@ init_error_limit (j_decompress_ptr cinfo) |
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*/ |
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METHODDEF(void) |
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finish_pass1 (j_decompress_ptr cinfo) |
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finish_pass1(j_decompress_ptr cinfo) |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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/* Select the representative colors and fill in cinfo->colormap */ |
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cinfo->colormap = cquantize->sv_colormap; |
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@ -1124,7 +1127,7 @@ finish_pass1 (j_decompress_ptr cinfo) |
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METHODDEF(void) |
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finish_pass2 (j_decompress_ptr cinfo) |
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finish_pass2(j_decompress_ptr cinfo) |
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{ |
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/* no work */ |
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} |
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@ -1135,9 +1138,9 @@ finish_pass2 (j_decompress_ptr cinfo) |
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*/ |
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METHODDEF(void) |
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start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan) |
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start_pass_2_quant(j_decompress_ptr cinfo, boolean is_pre_scan) |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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hist3d histogram = cquantize->histogram; |
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int i; |
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@ -1167,14 +1170,14 @@ start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan) |
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ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS); |
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if (cinfo->dither_mode == JDITHER_FS) { |
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size_t arraysize = (size_t) ((cinfo->output_width + 2) * |
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(3 * sizeof(FSERROR))); |
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size_t arraysize = |
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(size_t)((cinfo->output_width + 2) * (3 * sizeof(FSERROR))); |
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/* Allocate Floyd-Steinberg workspace if we didn't already. */ |
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if (cquantize->fserrors == NULL) |
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cquantize->fserrors = (FSERRPTR) (*cinfo->mem->alloc_large) |
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((j_common_ptr) cinfo, JPOOL_IMAGE, arraysize); |
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cquantize->fserrors = (FSERRPTR)(*cinfo->mem->alloc_large) |
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((j_common_ptr)cinfo, JPOOL_IMAGE, arraysize); |
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/* Initialize the propagated errors to zero. */ |
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jzero_far((void *) cquantize->fserrors, arraysize); |
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jzero_far((void *)cquantize->fserrors, arraysize); |
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/* Make the error-limit table if we didn't already. */ |
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if (cquantize->error_limiter == NULL) |
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init_error_limit(cinfo); |
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@ -1185,8 +1188,8 @@ start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan) |
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/* Zero the histogram or inverse color map, if necessary */ |
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if (cquantize->needs_zeroed) { |
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for (i = 0; i < HIST_C0_ELEMS; i++) { |
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jzero_far((void *) histogram[i], |
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HIST_C1_ELEMS*HIST_C2_ELEMS * sizeof(histcell)); |
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jzero_far((void *)histogram[i], |
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HIST_C1_ELEMS * HIST_C2_ELEMS * sizeof(histcell)); |
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} |
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cquantize->needs_zeroed = FALSE; |
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} |
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@ -1198,9 +1201,9 @@ start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan) |
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*/ |
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METHODDEF(void) |
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new_color_map_2_quant (j_decompress_ptr cinfo) |
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new_color_map_2_quant(j_decompress_ptr cinfo) |
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{ |
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my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize; |
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my_cquantize_ptr cquantize = (my_cquantize_ptr)cinfo->cquantize; |
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/* Reset the inverse color map */ |
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cquantize->needs_zeroed = TRUE; |
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@ -1212,15 +1215,15 @@ new_color_map_2_quant (j_decompress_ptr cinfo) |
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*/ |
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GLOBAL(void) |
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jinit_2pass_quantizer (j_decompress_ptr cinfo) |
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jinit_2pass_quantizer(j_decompress_ptr cinfo) |
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{ |
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my_cquantize_ptr cquantize; |
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int i; |
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cquantize = (my_cquantize_ptr) |
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(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE, |
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(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE, |
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sizeof(my_cquantizer)); |
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cinfo->cquantize = (struct jpeg_color_quantizer *) cquantize; |
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cinfo->cquantize = (struct jpeg_color_quantizer *)cquantize; |
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cquantize->pub.start_pass = start_pass_2_quant; |
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cquantize->pub.new_color_map = new_color_map_2_quant; |
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cquantize->fserrors = NULL; /* flag optional arrays not allocated */ |
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@ -1231,12 +1234,12 @@ jinit_2pass_quantizer (j_decompress_ptr cinfo) |
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ERREXIT(cinfo, JERR_NOTIMPL); |
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/* Allocate the histogram/inverse colormap storage */ |
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cquantize->histogram = (hist3d) (*cinfo->mem->alloc_small) |
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((j_common_ptr) cinfo, JPOOL_IMAGE, HIST_C0_ELEMS * sizeof(hist2d)); |
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cquantize->histogram = (hist3d)(*cinfo->mem->alloc_small) |
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((j_common_ptr)cinfo, JPOOL_IMAGE, HIST_C0_ELEMS * sizeof(hist2d)); |
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for (i = 0; i < HIST_C0_ELEMS; i++) { |
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cquantize->histogram[i] = (hist2d) (*cinfo->mem->alloc_large) |
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((j_common_ptr) cinfo, JPOOL_IMAGE, |
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HIST_C1_ELEMS*HIST_C2_ELEMS * sizeof(histcell)); |
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cquantize->histogram[i] = (hist2d)(*cinfo->mem->alloc_large) |
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((j_common_ptr)cinfo, JPOOL_IMAGE, |
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HIST_C1_ELEMS * HIST_C2_ELEMS * sizeof(histcell)); |
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} |
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cquantize->needs_zeroed = TRUE; /* histogram is garbage now */ |
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@ -1254,7 +1257,7 @@ jinit_2pass_quantizer (j_decompress_ptr cinfo) |
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if (desired > MAXNUMCOLORS) |
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ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS); |
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cquantize->sv_colormap = (*cinfo->mem->alloc_sarray) |
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((j_common_ptr) cinfo,JPOOL_IMAGE, (JDIMENSION) desired, (JDIMENSION) 3); |
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((j_common_ptr)cinfo, JPOOL_IMAGE, (JDIMENSION)desired, (JDIMENSION)3); |
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cquantize->desired = desired; |
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} else |
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cquantize->sv_colormap = NULL; |
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@ -1271,9 +1274,9 @@ jinit_2pass_quantizer (j_decompress_ptr cinfo) |
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* dither_mode changes. |
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*/ |
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if (cinfo->dither_mode == JDITHER_FS) { |
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cquantize->fserrors = (FSERRPTR) (*cinfo->mem->alloc_large) |
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((j_common_ptr) cinfo, JPOOL_IMAGE, |
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(size_t) ((cinfo->output_width + 2) * (3 * sizeof(FSERROR)))); |
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cquantize->fserrors = (FSERRPTR)(*cinfo->mem->alloc_large) |
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((j_common_ptr)cinfo, JPOOL_IMAGE, |
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(size_t)((cinfo->output_width + 2) * (3 * sizeof(FSERROR)))); |
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/* Might as well create the error-limiting table too. */ |
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init_error_limit(cinfo); |
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} |
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