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-rw-r--r--src/lib/libjpeg/jquant2.c1554
1 files changed, 777 insertions, 777 deletions
diff --git a/src/lib/libjpeg/jquant2.c b/src/lib/libjpeg/jquant2.c
index abd0a3db9bd..68ab6a7c665 100644
--- a/src/lib/libjpeg/jquant2.c
+++ b/src/lib/libjpeg/jquant2.c
@@ -70,9 +70,9 @@
* probably need to change these scale factors.
*/
-#define R_SCALE 2 /* scale R distances by this much */
-#define G_SCALE 3 /* scale G distances by this much */
-#define B_SCALE 1 /* and B by this much */
+#define R_SCALE 2 /* scale R distances by this much */
+#define G_SCALE 3 /* scale G distances by this much */
+#define B_SCALE 1 /* and B by this much */
/* Relabel R/G/B as components 0/1/2, respecting the RGB ordering defined
* in jmorecfg.h. As the code stands, it will do the right thing for R,G,B
@@ -129,9 +129,9 @@
/* These will do the right thing for either R,G,B or B,G,R color order,
* but you may not like the results for other color orders.
*/
-#define HIST_C0_BITS 5 /* bits of precision in R/B histogram */
-#define HIST_C1_BITS 6 /* bits of precision in G histogram */
-#define HIST_C2_BITS 5 /* bits of precision in B/R histogram */
+#define HIST_C0_BITS 5 /* bits of precision in R/B histogram */
+#define HIST_C1_BITS 6 /* bits of precision in G histogram */
+#define HIST_C2_BITS 5 /* bits of precision in B/R histogram */
/* Number of elements along histogram axes. */
#define HIST_C0_ELEMS (1<<HIST_C0_BITS)
@@ -144,13 +144,13 @@
#define C2_SHIFT (BITS_IN_JSAMPLE-HIST_C2_BITS)
-typedef UINT16 histcell; /* histogram cell; prefer an unsigned type */
+typedef UINT16 histcell; /* histogram cell; prefer an unsigned type */
-typedef histcell FAR * histptr; /* for pointers to histogram cells */
+typedef histcell FAR * histptr; /* for pointers to histogram cells */
typedef histcell hist1d[HIST_C2_ELEMS]; /* typedefs for the array */
-typedef hist1d FAR * hist2d; /* type for the 2nd-level pointers */
-typedef hist2d * hist3d; /* type for top-level pointer */
+typedef hist1d FAR * hist2d; /* type for the 2nd-level pointers */
+typedef hist2d * hist3d; /* type for top-level pointer */
/* Declarations for Floyd-Steinberg dithering.
@@ -178,34 +178,34 @@ typedef hist2d * hist3d; /* type for top-level pointer */
*/
#if BITS_IN_JSAMPLE == 8
-typedef INT16 FSERROR; /* 16 bits should be enough */
-typedef int LOCFSERROR; /* use 'int' for calculation temps */
+typedef INT16 FSERROR; /* 16 bits should be enough */
+typedef int LOCFSERROR; /* use 'int' for calculation temps */
#else
-typedef INT32 FSERROR; /* may need more than 16 bits */
-typedef INT32 LOCFSERROR; /* be sure calculation temps are big enough */
+typedef INT32 FSERROR; /* may need more than 16 bits */
+typedef INT32 LOCFSERROR; /* be sure calculation temps are big enough */
#endif
-typedef FSERROR FAR *FSERRPTR; /* pointer to error array (in FAR storage!) */
+typedef FSERROR FAR *FSERRPTR; /* pointer to error array (in FAR storage!) */
/* Private subobject */
typedef struct {
- struct jpeg_color_quantizer pub; /* public fields */
+ struct jpeg_color_quantizer pub; /* public fields */
- /* Space for the eventually created colormap is stashed here */
- JSAMPARRAY sv_colormap; /* colormap allocated at init time */
- int desired; /* desired # of colors = size of colormap */
+ /* Space for the eventually created colormap is stashed here */
+ JSAMPARRAY sv_colormap; /* colormap allocated at init time */
+ int desired; /* desired # of colors = size of colormap */
- /* Variables for accumulating image statistics */
- hist3d histogram; /* pointer to the histogram */
+ /* Variables for accumulating image statistics */
+ hist3d histogram; /* pointer to the histogram */
- boolean needs_zeroed; /* TRUE if next pass must zero histogram */
+ boolean needs_zeroed; /* TRUE if next pass must zero histogram */
- /* Variables for Floyd-Steinberg dithering */
- FSERRPTR fserrors; /* accumulated errors */
- boolean on_odd_row; /* flag to remember which row we are on */
- int * error_limiter; /* table for clamping the applied error */
+ /* Variables for Floyd-Steinberg dithering */
+ FSERRPTR fserrors; /* accumulated errors */
+ boolean on_odd_row; /* flag to remember which row we are on */
+ int * error_limiter; /* table for clamping the applied error */
} my_cquantizer;
typedef my_cquantizer * my_cquantize_ptr;
@@ -222,29 +222,29 @@ typedef my_cquantizer * my_cquantize_ptr;
METHODDEF(void)
prescan_quantize (j_decompress_ptr cinfo, JSAMPARRAY input_buf,
- JSAMPARRAY output_buf, int num_rows)
+ JSAMPARRAY output_buf, int num_rows)
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- register JSAMPROW ptr;
- register histptr histp;
- register hist3d histogram = cquantize->histogram;
- int row;
- JDIMENSION col;
- JDIMENSION width = cinfo->output_width;
-
- for (row = 0; row < num_rows; row++) {
- ptr = input_buf[row];
- for (col = width; col > 0; col--) {
- /* get pixel value and index into the histogram */
- histp = & histogram[GETJSAMPLE(ptr[0]) >> C0_SHIFT]
- [GETJSAMPLE(ptr[1]) >> C1_SHIFT]
- [GETJSAMPLE(ptr[2]) >> C2_SHIFT];
- /* increment, check for overflow and undo increment if so. */
- if (++(*histp) <= 0)
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ register JSAMPROW ptr;
+ register histptr histp;
+ register hist3d histogram = cquantize->histogram;
+ int row;
+ JDIMENSION col;
+ JDIMENSION width = cinfo->output_width;
+
+ for (row = 0; row < num_rows; row++) {
+ ptr = input_buf[row];
+ for (col = width; col > 0; col--) {
+ /* get pixel value and index into the histogram */
+ histp = & histogram[GETJSAMPLE(ptr[0]) >> C0_SHIFT]
+ [GETJSAMPLE(ptr[1]) >> C1_SHIFT]
+ [GETJSAMPLE(ptr[2]) >> C2_SHIFT];
+ /* increment, check for overflow and undo increment if so. */
+ if (++(*histp) <= 0)
(*histp)--;
- ptr += 3;
- }
- }
+ ptr += 3;
+ }
+ }
}
@@ -256,14 +256,14 @@ prescan_quantize (j_decompress_ptr cinfo, JSAMPARRAY input_buf,
*/
typedef struct {
- /* The bounds of the box (inclusive); expressed as histogram indexes */
- int c0min, c0max;
- int c1min, c1max;
- int c2min, c2max;
- /* The volume (actually 2-norm) of the box */
- INT32 volume;
- /* The number of nonzero histogram cells within this box */
- long colorcount;
+ /* The bounds of the box (inclusive); expressed as histogram indexes */
+ int c0min, c0max;
+ int c1min, c1max;
+ int c2min, c2max;
+ /* The volume (actually 2-norm) of the box */
+ INT32 volume;
+ /* The number of nonzero histogram cells within this box */
+ long colorcount;
} box;
typedef box * boxptr;
@@ -274,18 +274,18 @@ find_biggest_color_pop (boxptr boxlist, int numboxes)
/* Find the splittable box with the largest color population */
/* Returns NULL if no splittable boxes remain */
{
- register boxptr boxp;
- register int i;
- register long maxc = 0;
- boxptr which = NULL;
-
- for (i = 0, boxp = boxlist; i < numboxes; i++, boxp++) {
- if (boxp->colorcount > maxc && boxp->volume > 0) {
- which = boxp;
- maxc = boxp->colorcount;
- }
- }
- return which;
+ register boxptr boxp;
+ register int i;
+ register long maxc = 0;
+ boxptr which = NULL;
+
+ for (i = 0, boxp = boxlist; i < numboxes; i++, boxp++) {
+ if (boxp->colorcount > maxc && boxp->volume > 0) {
+ which = boxp;
+ maxc = boxp->colorcount;
+ }
+ }
+ return which;
}
@@ -294,18 +294,18 @@ find_biggest_volume (boxptr boxlist, int numboxes)
/* Find the splittable box with the largest (scaled) volume */
/* Returns NULL if no splittable boxes remain */
{
- register boxptr boxp;
- register int i;
- register INT32 maxv = 0;
- boxptr which = NULL;
-
- for (i = 0, boxp = boxlist; i < numboxes; i++, boxp++) {
- if (boxp->volume > maxv) {
- which = boxp;
- maxv = boxp->volume;
- }
- }
- return which;
+ register boxptr boxp;
+ register int i;
+ register INT32 maxv = 0;
+ boxptr which = NULL;
+
+ for (i = 0, boxp = boxlist; i < numboxes; i++, boxp++) {
+ if (boxp->volume > maxv) {
+ which = boxp;
+ maxv = boxp->volume;
+ }
+ }
+ return which;
}
@@ -314,184 +314,184 @@ update_box (j_decompress_ptr cinfo, boxptr boxp)
/* Shrink the min/max bounds of a box to enclose only nonzero elements, */
/* and recompute its volume and population */
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- hist3d histogram = cquantize->histogram;
- histptr histp;
- int c0,c1,c2;
- int c0min,c0max,c1min,c1max,c2min,c2max;
- INT32 dist0,dist1,dist2;
- long ccount;
-
- c0min = boxp->c0min; c0max = boxp->c0max;
- c1min = boxp->c1min; c1max = boxp->c1max;
- c2min = boxp->c2min; c2max = boxp->c2max;
-
- if (c0max > c0min)
- for (c0 = c0min; c0 <= c0max; c0++)
- for (c1 = c1min; c1 <= c1max; c1++) {
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ hist3d histogram = cquantize->histogram;
+ histptr histp;
+ int c0,c1,c2;
+ int c0min,c0max,c1min,c1max,c2min,c2max;
+ INT32 dist0,dist1,dist2;
+ long ccount;
+
+ c0min = boxp->c0min; c0max = boxp->c0max;
+ c1min = boxp->c1min; c1max = boxp->c1max;
+ c2min = boxp->c2min; c2max = boxp->c2max;
+
+ if (c0max > c0min)
+ for (c0 = c0min; c0 <= c0max; c0++)
+ for (c1 = c1min; c1 <= c1max; c1++) {
histp = & histogram[c0][c1][c2min];
for (c2 = c2min; c2 <= c2max; c2++)
- if (*histp++ != 0) {
- boxp->c0min = c0min = c0;
- goto have_c0min;
- }
- }
- have_c0min:
- if (c0max > c0min)
- for (c0 = c0max; c0 >= c0min; c0--)
- for (c1 = c1min; c1 <= c1max; c1++) {
+ if (*histp++ != 0) {
+ boxp->c0min = c0min = c0;
+ goto have_c0min;
+ }
+ }
+ have_c0min:
+ if (c0max > c0min)
+ for (c0 = c0max; c0 >= c0min; c0--)
+ for (c1 = c1min; c1 <= c1max; c1++) {
histp = & histogram[c0][c1][c2min];
for (c2 = c2min; c2 <= c2max; c2++)
- if (*histp++ != 0) {
- boxp->c0max = c0max = c0;
- goto have_c0max;
- }
- }
- have_c0max:
- if (c1max > c1min)
- for (c1 = c1min; c1 <= c1max; c1++)
- for (c0 = c0min; c0 <= c0max; c0++) {
+ if (*histp++ != 0) {
+ boxp->c0max = c0max = c0;
+ goto have_c0max;
+ }
+ }
+ have_c0max:
+ if (c1max > c1min)
+ for (c1 = c1min; c1 <= c1max; c1++)
+ for (c0 = c0min; c0 <= c0max; c0++) {
histp = & histogram[c0][c1][c2min];
for (c2 = c2min; c2 <= c2max; c2++)
- if (*histp++ != 0) {
- boxp->c1min = c1min = c1;
- goto have_c1min;
- }
- }
- have_c1min:
- if (c1max > c1min)
- for (c1 = c1max; c1 >= c1min; c1--)
- for (c0 = c0min; c0 <= c0max; c0++) {
+ if (*histp++ != 0) {
+ boxp->c1min = c1min = c1;
+ goto have_c1min;
+ }
+ }
+ have_c1min:
+ if (c1max > c1min)
+ for (c1 = c1max; c1 >= c1min; c1--)
+ for (c0 = c0min; c0 <= c0max; c0++) {
histp = & histogram[c0][c1][c2min];
for (c2 = c2min; c2 <= c2max; c2++)
- if (*histp++ != 0) {
- boxp->c1max = c1max = c1;
- goto have_c1max;
- }
- }
- have_c1max:
- if (c2max > c2min)
- for (c2 = c2min; c2 <= c2max; c2++)
- for (c0 = c0min; c0 <= c0max; c0++) {
+ if (*histp++ != 0) {
+ boxp->c1max = c1max = c1;
+ goto have_c1max;
+ }
+ }
+ have_c1max:
+ if (c2max > c2min)
+ for (c2 = c2min; c2 <= c2max; c2++)
+ for (c0 = c0min; c0 <= c0max; c0++) {
histp = & histogram[c0][c1min][c2];
for (c1 = c1min; c1 <= c1max; c1++, histp += HIST_C2_ELEMS)
- if (*histp != 0) {
- boxp->c2min = c2min = c2;
- goto have_c2min;
- }
- }
- have_c2min:
- if (c2max > c2min)
- for (c2 = c2max; c2 >= c2min; c2--)
- for (c0 = c0min; c0 <= c0max; c0++) {
+ if (*histp != 0) {
+ boxp->c2min = c2min = c2;
+ goto have_c2min;
+ }
+ }
+ have_c2min:
+ if (c2max > c2min)
+ for (c2 = c2max; c2 >= c2min; c2--)
+ for (c0 = c0min; c0 <= c0max; c0++) {
histp = & histogram[c0][c1min][c2];
for (c1 = c1min; c1 <= c1max; c1++, histp += HIST_C2_ELEMS)
- if (*histp != 0) {
- boxp->c2max = c2max = c2;
- goto have_c2max;
- }
- }
- have_c2max:
-
- /* Update box volume.
- * We use 2-norm rather than real volume here; this biases the method
- * against making long narrow boxes, and it has the side benefit that
- * a box is splittable iff norm > 0.
- * Since the differences are expressed in histogram-cell units,
- * we have to shift back to JSAMPLE units to get consistent distances;
- * after which, we scale according to the selected distance scale factors.
- */
- dist0 = ((c0max - c0min) << C0_SHIFT) * C0_SCALE;
- dist1 = ((c1max - c1min) << C1_SHIFT) * C1_SCALE;
- dist2 = ((c2max - c2min) << C2_SHIFT) * C2_SCALE;
- boxp->volume = dist0*dist0 + dist1*dist1 + dist2*dist2;
-
- /* Now scan remaining volume of box and compute population */
- ccount = 0;
- for (c0 = c0min; c0 <= c0max; c0++)
- for (c1 = c1min; c1 <= c1max; c1++) {
- histp = & histogram[c0][c1][c2min];
- for (c2 = c2min; c2 <= c2max; c2++, histp++)
+ if (*histp != 0) {
+ boxp->c2max = c2max = c2;
+ goto have_c2max;
+ }
+ }
+ have_c2max:
+
+ /* Update box volume.
+ * We use 2-norm rather than real volume here; this biases the method
+ * against making long narrow boxes, and it has the side benefit that
+ * a box is splittable iff norm > 0.
+ * Since the differences are expressed in histogram-cell units,
+ * we have to shift back to JSAMPLE units to get consistent distances;
+ * after which, we scale according to the selected distance scale factors.
+ */
+ dist0 = ((c0max - c0min) << C0_SHIFT) * C0_SCALE;
+ dist1 = ((c1max - c1min) << C1_SHIFT) * C1_SCALE;
+ dist2 = ((c2max - c2min) << C2_SHIFT) * C2_SCALE;
+ boxp->volume = dist0*dist0 + dist1*dist1 + dist2*dist2;
+
+ /* Now scan remaining volume of box and compute population */
+ ccount = 0;
+ for (c0 = c0min; c0 <= c0max; c0++)
+ for (c1 = c1min; c1 <= c1max; c1++) {
+ histp = & histogram[c0][c1][c2min];
+ for (c2 = c2min; c2 <= c2max; c2++, histp++)
if (*histp != 0) {
- ccount++;
+ ccount++;
+ }
}
- }
- boxp->colorcount = ccount;
+ boxp->colorcount = ccount;
}
LOCAL(int)
median_cut (j_decompress_ptr cinfo, boxptr boxlist, int numboxes,
- int desired_colors)
+ int desired_colors)
/* Repeatedly select and split the largest box until we have enough boxes */
{
- int n,lb;
- int c0,c1,c2,cmax;
- register boxptr b1,b2;
-
- while (numboxes < desired_colors) {
- /* Select box to split.
- * Current algorithm: by population for first half, then by volume.
- */
- if (numboxes*2 <= desired_colors) {
- b1 = find_biggest_color_pop(boxlist, numboxes);
- } else {
- b1 = find_biggest_volume(boxlist, numboxes);
- }
- if (b1 == NULL) /* no splittable boxes left! */
- break;
- b2 = &boxlist[numboxes]; /* where new box will go */
- /* Copy the color bounds to the new box. */
- b2->c0max = b1->c0max; b2->c1max = b1->c1max; b2->c2max = b1->c2max;
- b2->c0min = b1->c0min; b2->c1min = b1->c1min; b2->c2min = b1->c2min;
- /* Choose which axis to split the box on.
- * Current algorithm: longest scaled axis.
- * See notes in update_box about scaling distances.
- */
- c0 = ((b1->c0max - b1->c0min) << C0_SHIFT) * C0_SCALE;
- c1 = ((b1->c1max - b1->c1min) << C1_SHIFT) * C1_SCALE;
- c2 = ((b1->c2max - b1->c2min) << C2_SHIFT) * C2_SCALE;
- /* We want to break any ties in favor of green, then red, blue last.
- * This code does the right thing for R,G,B or B,G,R color orders only.
- */
+ int n,lb;
+ int c0,c1,c2,cmax;
+ register boxptr b1,b2;
+
+ while (numboxes < desired_colors) {
+ /* Select box to split.
+ * Current algorithm: by population for first half, then by volume.
+ */
+ if (numboxes*2 <= desired_colors) {
+ b1 = find_biggest_color_pop(boxlist, numboxes);
+ } else {
+ b1 = find_biggest_volume(boxlist, numboxes);
+ }
+ if (b1 == NULL) /* no splittable boxes left! */
+ break;
+ b2 = &boxlist[numboxes]; /* where new box will go */
+ /* Copy the color bounds to the new box. */
+ b2->c0max = b1->c0max; b2->c1max = b1->c1max; b2->c2max = b1->c2max;
+ b2->c0min = b1->c0min; b2->c1min = b1->c1min; b2->c2min = b1->c2min;
+ /* Choose which axis to split the box on.
+ * Current algorithm: longest scaled axis.
+ * See notes in update_box about scaling distances.
+ */
+ c0 = ((b1->c0max - b1->c0min) << C0_SHIFT) * C0_SCALE;
+ c1 = ((b1->c1max - b1->c1min) << C1_SHIFT) * C1_SCALE;
+ c2 = ((b1->c2max - b1->c2min) << C2_SHIFT) * C2_SCALE;
+ /* We want to break any ties in favor of green, then red, blue last.
+ * This code does the right thing for R,G,B or B,G,R color orders only.
+ */
#if RGB_RED == 0
- cmax = c1; n = 1;
- if (c0 > cmax) { cmax = c0; n = 0; }
- if (c2 > cmax) { n = 2; }
+ cmax = c1; n = 1;
+ if (c0 > cmax) { cmax = c0; n = 0; }
+ if (c2 > cmax) { n = 2; }
#else
- cmax = c1; n = 1;
- if (c2 > cmax) { cmax = c2; n = 2; }
- if (c0 > cmax) { n = 0; }
+ cmax = c1; n = 1;
+ if (c2 > cmax) { cmax = c2; n = 2; }
+ if (c0 > cmax) { n = 0; }
#endif
- /* Choose split point along selected axis, and update box bounds.
- * Current algorithm: split at halfway point.
- * (Since the box has been shrunk to minimum volume,
- * any split will produce two nonempty subboxes.)
- * Note that lb value is max for lower box, so must be < old max.
- */
- switch (n) {
- case 0:
- lb = (b1->c0max + b1->c0min) / 2;
- b1->c0max = lb;
- b2->c0min = lb+1;
- break;
- case 1:
- lb = (b1->c1max + b1->c1min) / 2;
- b1->c1max = lb;
- b2->c1min = lb+1;
- break;
- case 2:
- lb = (b1->c2max + b1->c2min) / 2;
- b1->c2max = lb;
- b2->c2min = lb+1;
- break;
- }
- /* Update stats for boxes */
- update_box(cinfo, b1);
- update_box(cinfo, b2);
- numboxes++;
- }
- return numboxes;
+ /* Choose split point along selected axis, and update box bounds.
+ * Current algorithm: split at halfway point.
+ * (Since the box has been shrunk to minimum volume,
+ * any split will produce two nonempty subboxes.)
+ * Note that lb value is max for lower box, so must be < old max.
+ */
+ switch (n) {
+ case 0:
+ lb = (b1->c0max + b1->c0min) / 2;
+ b1->c0max = lb;
+ b2->c0min = lb+1;
+ break;
+ case 1:
+ lb = (b1->c1max + b1->c1min) / 2;
+ b1->c1max = lb;
+ b2->c1min = lb+1;
+ break;
+ case 2:
+ lb = (b1->c2max + b1->c2min) / 2;
+ b1->c2max = lb;
+ b2->c2min = lb+1;
+ break;
+ }
+ /* Update stats for boxes */
+ update_box(cinfo, b1);
+ update_box(cinfo, b2);
+ numboxes++;
+ }
+ return numboxes;
}
@@ -499,39 +499,39 @@ LOCAL(void)
compute_color (j_decompress_ptr cinfo, boxptr boxp, int icolor)
/* Compute representative color for a box, put it in colormap[icolor] */
{
- /* Current algorithm: mean weighted by pixels (not colors) */
- /* Note it is important to get the rounding correct! */
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- hist3d histogram = cquantize->histogram;
- histptr histp;
- int c0,c1,c2;
- int c0min,c0max,c1min,c1max,c2min,c2max;
- long count;
- long total = 0;
- long c0total = 0;
- long c1total = 0;
- long c2total = 0;
-
- c0min = boxp->c0min; c0max = boxp->c0max;
- c1min = boxp->c1min; c1max = boxp->c1max;
- c2min = boxp->c2min; c2max = boxp->c2max;
-
- for (c0 = c0min; c0 <= c0max; c0++)
- for (c1 = c1min; c1 <= c1max; c1++) {
- histp = & histogram[c0][c1][c2min];
- for (c2 = c2min; c2 <= c2max; c2++) {
+ /* Current algorithm: mean weighted by pixels (not colors) */
+ /* Note it is important to get the rounding correct! */
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ hist3d histogram = cquantize->histogram;
+ histptr histp;
+ int c0,c1,c2;
+ int c0min,c0max,c1min,c1max,c2min,c2max;
+ long count;
+ long total = 0;
+ long c0total = 0;
+ long c1total = 0;
+ long c2total = 0;
+
+ c0min = boxp->c0min; c0max = boxp->c0max;
+ c1min = boxp->c1min; c1max = boxp->c1max;
+ c2min = boxp->c2min; c2max = boxp->c2max;
+
+ for (c0 = c0min; c0 <= c0max; c0++)
+ for (c1 = c1min; c1 <= c1max; c1++) {
+ histp = & histogram[c0][c1][c2min];
+ for (c2 = c2min; c2 <= c2max; c2++) {
if ((count = *histp++) != 0) {
- total += count;
- c0total += ((c0 << C0_SHIFT) + ((1<<C0_SHIFT)>>1)) * count;
- c1total += ((c1 << C1_SHIFT) + ((1<<C1_SHIFT)>>1)) * count;
- c2total += ((c2 << C2_SHIFT) + ((1<<C2_SHIFT)>>1)) * count;
+ total += count;
+ c0total += ((c0 << C0_SHIFT) + ((1<<C0_SHIFT)>>1)) * count;
+ c1total += ((c1 << C1_SHIFT) + ((1<<C1_SHIFT)>>1)) * count;
+ c2total += ((c2 << C2_SHIFT) + ((1<<C2_SHIFT)>>1)) * count;
+ }
+ }
}
- }
- }
- cinfo->colormap[0][icolor] = (JSAMPLE) ((c0total + (total>>1)) / total);
- cinfo->colormap[1][icolor] = (JSAMPLE) ((c1total + (total>>1)) / total);
- cinfo->colormap[2][icolor] = (JSAMPLE) ((c2total + (total>>1)) / total);
+ cinfo->colormap[0][icolor] = (JSAMPLE) ((c0total + (total>>1)) / total);
+ cinfo->colormap[1][icolor] = (JSAMPLE) ((c1total + (total>>1)) / total);
+ cinfo->colormap[2][icolor] = (JSAMPLE) ((c2total + (total>>1)) / total);
}
@@ -539,30 +539,30 @@ LOCAL(void)
select_colors (j_decompress_ptr cinfo, int desired_colors)
/* Master routine for color selection */
{
- boxptr boxlist;
- int numboxes;
- int i;
-
- /* Allocate workspace for box list */
- boxlist = (boxptr) (*cinfo->mem->alloc_small)
- ((j_common_ptr) cinfo, JPOOL_IMAGE, desired_colors * SIZEOF(box));
- /* Initialize one box containing whole space */
- numboxes = 1;
- boxlist[0].c0min = 0;
- boxlist[0].c0max = MAXJSAMPLE >> C0_SHIFT;
- boxlist[0].c1min = 0;
- boxlist[0].c1max = MAXJSAMPLE >> C1_SHIFT;
- 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]);
- /* 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);
- cinfo->actual_number_of_colors = numboxes;
- TRACEMS1(cinfo, 1, JTRC_QUANT_SELECTED, numboxes);
+ boxptr boxlist;
+ int numboxes;
+ int i;
+
+ /* Allocate workspace for box list */
+ boxlist = (boxptr) (*cinfo->mem->alloc_small)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE, desired_colors * SIZEOF(box));
+ /* Initialize one box containing whole space */
+ numboxes = 1;
+ boxlist[0].c0min = 0;
+ boxlist[0].c0max = MAXJSAMPLE >> C0_SHIFT;
+ boxlist[0].c1min = 0;
+ boxlist[0].c1max = MAXJSAMPLE >> C1_SHIFT;
+ 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]);
+ /* 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);
+ cinfo->actual_number_of_colors = numboxes;
+ TRACEMS1(cinfo, 1, JTRC_QUANT_SELECTED, numboxes);
}
@@ -644,7 +644,7 @@ 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[])
+ 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
@@ -654,126 +654,126 @@ find_nearby_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2,
* the colors that need further consideration.
*/
{
- int numcolors = cinfo->actual_number_of_colors;
- int maxc0, maxc1, maxc2;
- int centerc0, centerc1, centerc2;
- int i, x, ncolors;
- INT32 minmaxdist, min_dist, max_dist, tdist;
- INT32 mindist[MAXNUMCOLORS]; /* min distance to colormap entry i */
-
- /* Compute true coordinates of update box's upper corner and center.
- * Actually we compute the coordinates of the center of the upper-corner
- * histogram cell, which are the upper bounds of the volume we care about.
- * Note that since ">>" rounds down, the "center" values may be closer to
- * min than to max; hence comparisons to them must be "<=", not "<".
- */
- maxc0 = minc0 + ((1 << BOX_C0_SHIFT) - (1 << C0_SHIFT));
- centerc0 = (minc0 + maxc0) >> 1;
- maxc1 = minc1 + ((1 << BOX_C1_SHIFT) - (1 << C1_SHIFT));
- centerc1 = (minc1 + maxc1) >> 1;
- maxc2 = minc2 + ((1 << BOX_C2_SHIFT) - (1 << C2_SHIFT));
- centerc2 = (minc2 + maxc2) >> 1;
-
- /* For each color in colormap, find:
- * 1. its minimum squared-distance to any point in the update box
- * (zero if color is within update box);
- * 2. its maximum squared-distance to any point in the update box.
- * Both of these can be found by considering only the corners of the box.
- * We save the minimum distance for each color in mindist[];
- * only the smallest maximum distance is of interest.
- */
- minmaxdist = 0x7FFFFFFFL;
-
- for (i = 0; i < numcolors; i++) {
- /* We compute the squared-c0-distance term, then add in the other two. */
- x = GETJSAMPLE(cinfo->colormap[0][i]);
- if (x < minc0) {
- tdist = (x - minc0) * C0_SCALE;
- min_dist = tdist*tdist;
- tdist = (x - maxc0) * C0_SCALE;
- max_dist = tdist*tdist;
- } else if (x > maxc0) {
- tdist = (x - maxc0) * C0_SCALE;
- min_dist = tdist*tdist;
- tdist = (x - minc0) * C0_SCALE;
- max_dist = tdist*tdist;
- } else {
- /* within cell range so no contribution to min_dist */
- min_dist = 0;
- if (x <= centerc0) {
+ int numcolors = cinfo->actual_number_of_colors;
+ int maxc0, maxc1, maxc2;
+ int centerc0, centerc1, centerc2;
+ int i, x, ncolors;
+ INT32 minmaxdist, min_dist, max_dist, tdist;
+ INT32 mindist[MAXNUMCOLORS]; /* min distance to colormap entry i */
+
+ /* Compute true coordinates of update box's upper corner and center.
+ * Actually we compute the coordinates of the center of the upper-corner
+ * histogram cell, which are the upper bounds of the volume we care about.
+ * Note that since ">>" rounds down, the "center" values may be closer to
+ * min than to max; hence comparisons to them must be "<=", not "<".
+ */
+ maxc0 = minc0 + ((1 << BOX_C0_SHIFT) - (1 << C0_SHIFT));
+ centerc0 = (minc0 + maxc0) >> 1;
+ maxc1 = minc1 + ((1 << BOX_C1_SHIFT) - (1 << C1_SHIFT));
+ centerc1 = (minc1 + maxc1) >> 1;
+ maxc2 = minc2 + ((1 << BOX_C2_SHIFT) - (1 << C2_SHIFT));
+ centerc2 = (minc2 + maxc2) >> 1;
+
+ /* For each color in colormap, find:
+ * 1. its minimum squared-distance to any point in the update box
+ * (zero if color is within update box);
+ * 2. its maximum squared-distance to any point in the update box.
+ * Both of these can be found by considering only the corners of the box.
+ * We save the minimum distance for each color in mindist[];
+ * only the smallest maximum distance is of interest.
+ */
+ minmaxdist = 0x7FFFFFFFL;
+
+ for (i = 0; i < numcolors; i++) {
+ /* We compute the squared-c0-distance term, then add in the other two. */
+ x = GETJSAMPLE(cinfo->colormap[0][i]);
+ if (x < minc0) {
+ tdist = (x - minc0) * C0_SCALE;
+ min_dist = tdist*tdist;
+ tdist = (x - maxc0) * C0_SCALE;
+ max_dist = tdist*tdist;
+ } else if (x > maxc0) {
+ tdist = (x - maxc0) * C0_SCALE;
+ min_dist = tdist*tdist;
+ tdist = (x - minc0) * C0_SCALE;
+ 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;
- } else {
+ } else {
tdist = (x - minc0) * C0_SCALE;
max_dist = tdist*tdist;
- }
- }
-
- x = GETJSAMPLE(cinfo->colormap[1][i]);
- if (x < minc1) {
- tdist = (x - minc1) * C1_SCALE;
- min_dist += tdist*tdist;
- tdist = (x - maxc1) * C1_SCALE;
- max_dist += tdist*tdist;
- } else if (x > maxc1) {
- tdist = (x - maxc1) * C1_SCALE;
- min_dist += tdist*tdist;
- tdist = (x - minc1) * C1_SCALE;
- max_dist += tdist*tdist;
- } else {
- /* within cell range so no contribution to min_dist */
- if (x <= centerc1) {
+ }
+ }
+
+ x = GETJSAMPLE(cinfo->colormap[1][i]);
+ if (x < minc1) {
+ tdist = (x - minc1) * C1_SCALE;
+ min_dist += tdist*tdist;
+ tdist = (x - maxc1) * C1_SCALE;
+ max_dist += tdist*tdist;
+ } else if (x > maxc1) {
+ tdist = (x - maxc1) * C1_SCALE;
+ min_dist += tdist*tdist;
+ tdist = (x - minc1) * C1_SCALE;
+ 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;
- } else {
+ } else {
tdist = (x - minc1) * C1_SCALE;
max_dist += tdist*tdist;
- }
- }
-
- x = GETJSAMPLE(cinfo->colormap[2][i]);
- if (x < minc2) {
- tdist = (x - minc2) * C2_SCALE;
- min_dist += tdist*tdist;
- tdist = (x - maxc2) * C2_SCALE;
- max_dist += tdist*tdist;
- } else if (x > maxc2) {
- tdist = (x - maxc2) * C2_SCALE;
- min_dist += tdist*tdist;
- tdist = (x - minc2) * C2_SCALE;
- max_dist += tdist*tdist;
- } else {
- /* within cell range so no contribution to min_dist */
- if (x <= centerc2) {
+ }
+ }
+
+ x = GETJSAMPLE(cinfo->colormap[2][i]);
+ if (x < minc2) {
+ tdist = (x - minc2) * C2_SCALE;
+ min_dist += tdist*tdist;
+ tdist = (x - maxc2) * C2_SCALE;
+ max_dist += tdist*tdist;
+ } else if (x > maxc2) {
+ tdist = (x - maxc2) * C2_SCALE;
+ min_dist += tdist*tdist;
+ tdist = (x - minc2) * C2_SCALE;
+ 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;
- } else {
+ } else {
tdist = (x - minc2) * C2_SCALE;
max_dist += tdist*tdist;
- }
- }
-
- mindist[i] = min_dist; /* save away the results */
- if (max_dist < minmaxdist)
- minmaxdist = max_dist;
- }
-
- /* Now we know that no cell in the update box is more than minmaxdist
- * away from some colormap entry. Therefore, only colors that are
- * within minmaxdist of some part of the box need be considered.
- */
- ncolors = 0;
- for (i = 0; i < numcolors; i++) {
- if (mindist[i] <= minmaxdist)
- colorlist[ncolors++] = (JSAMPLE) i;
- }
- return ncolors;
+ }
+ }
+
+ mindist[i] = min_dist; /* save away the results */
+ if (max_dist < minmaxdist)
+ minmaxdist = max_dist;
+ }
+
+ /* Now we know that no cell in the update box is more than minmaxdist
+ * away from some colormap entry. Therefore, only colors that are
+ * within minmaxdist of some part of the box need be considered.
+ */
+ ncolors = 0;
+ for (i = 0; i < numcolors; i++) {
+ if (mindist[i] <= minmaxdist)
+ 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[])
+ 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.
@@ -781,73 +781,73 @@ find_best_colors (j_decompress_ptr cinfo, int minc0, int minc1, int minc2,
* find the distance from a colormap entry to successive cells in the box.
*/
{
- int ic0, ic1, ic2;
- int i, icolor;
- register INT32 * bptr; /* pointer into bestdist[] array */
- JSAMPLE * cptr; /* pointer into bestcolor[] array */
- INT32 dist0, dist1; /* initial distance values */
- register INT32 dist2; /* current distance in inner loop */
- INT32 xx0, xx1; /* distance increments */
- register INT32 xx2;
- INT32 inc0, inc1, inc2; /* initial values for increments */
- /* This array holds the distance to the nearest-so-far color for each cell */
- INT32 bestdist[BOX_C0_ELEMS * BOX_C1_ELEMS * BOX_C2_ELEMS];
-
- /* 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--)
- *bptr++ = 0x7FFFFFFFL;
-
- /* For each color selected by find_nearby_colors,
- * compute its distance to the center of each cell in the box.
- * If that's less than best-so-far, update best distance and color number.
- */
-
- /* Nominal steps between cell centers ("x" in Thomas article) */
+ int ic0, ic1, ic2;
+ int i, icolor;
+ register INT32 * bptr; /* pointer into bestdist[] array */
+ JSAMPLE * cptr; /* pointer into bestcolor[] array */
+ INT32 dist0, dist1; /* initial distance values */
+ register INT32 dist2; /* current distance in inner loop */
+ INT32 xx0, xx1; /* distance increments */
+ register INT32 xx2;
+ INT32 inc0, inc1, inc2; /* initial values for increments */
+ /* This array holds the distance to the nearest-so-far color for each cell */
+ INT32 bestdist[BOX_C0_ELEMS * BOX_C1_ELEMS * BOX_C2_ELEMS];
+
+ /* 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--)
+ *bptr++ = 0x7FFFFFFFL;
+
+ /* For each color selected by find_nearby_colors,
+ * compute its distance to the center of each cell in the box.
+ * If that's less than best-so-far, update best distance and color number.
+ */
+
+ /* Nominal steps between cell centers ("x" in Thomas article) */
#define STEP_C0 ((1 << C0_SHIFT) * C0_SCALE)
#define STEP_C1 ((1 << C1_SHIFT) * C1_SCALE)
#define STEP_C2 ((1 << C2_SHIFT) * C2_SCALE)
- for (i = 0; i < numcolors; i++) {
- 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;
- inc1 = (minc1 - GETJSAMPLE(cinfo->colormap[1][icolor])) * C1_SCALE;
- dist0 += inc1*inc1;
- inc2 = (minc2 - GETJSAMPLE(cinfo->colormap[2][icolor])) * C2_SCALE;
- 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;
- inc2 = inc2 * (2 * STEP_C2) + STEP_C2 * STEP_C2;
- /* Now loop over all cells in box, updating distance per Thomas method */
- bptr = bestdist;
- cptr = bestcolor;
- xx0 = inc0;
- for (ic0 = BOX_C0_ELEMS-1; ic0 >= 0; ic0--) {
- dist1 = dist0;
- xx1 = inc1;
- for (ic1 = BOX_C1_ELEMS-1; ic1 >= 0; ic1--) {
+ for (i = 0; i < numcolors; i++) {
+ 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;
+ inc1 = (minc1 - GETJSAMPLE(cinfo->colormap[1][icolor])) * C1_SCALE;
+ dist0 += inc1*inc1;
+ inc2 = (minc2 - GETJSAMPLE(cinfo->colormap[2][icolor])) * C2_SCALE;
+ 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;
+ inc2 = inc2 * (2 * STEP_C2) + STEP_C2 * STEP_C2;
+ /* Now loop over all cells in box, updating distance per Thomas method */
+ bptr = bestdist;
+ cptr = bestcolor;
+ xx0 = inc0;
+ for (ic0 = BOX_C0_ELEMS-1; ic0 >= 0; ic0--) {
+ dist1 = dist0;
+ xx1 = inc1;
+ for (ic1 = BOX_C1_ELEMS-1; ic1 >= 0; ic1--) {
dist2 = dist1;
xx2 = inc2;
for (ic2 = BOX_C2_ELEMS-1; ic2 >= 0; ic2--) {
- if (dist2 < *bptr) {
- *bptr = dist2;
- *cptr = (JSAMPLE) icolor;
- }
- dist2 += xx2;
- xx2 += 2 * STEP_C2 * STEP_C2;
- bptr++;
- cptr++;
+ if (dist2 < *bptr) {
+ *bptr = dist2;
+ *cptr = (JSAMPLE) icolor;
+ }
+ dist2 += xx2;
+ xx2 += 2 * STEP_C2 * STEP_C2;
+ bptr++;
+ cptr++;
}
dist1 += xx1;
xx1 += 2 * STEP_C1 * STEP_C1;
- }
- dist0 += xx0;
- xx0 += 2 * STEP_C0 * STEP_C0;
- }
- }
+ }
+ dist0 += xx0;
+ xx0 += 2 * STEP_C0 * STEP_C0;
+ }
+ }
}
@@ -857,53 +857,53 @@ fill_inverse_cmap (j_decompress_ptr cinfo, int c0, int c1, int c2)
/* 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;
- hist3d histogram = cquantize->histogram;
- int minc0, minc1, minc2; /* lower left corner of update box */
- int ic0, ic1, ic2;
- register JSAMPLE * cptr; /* pointer into bestcolor[] array */
- register histptr cachep; /* pointer into main cache array */
- /* This array lists the candidate colormap indexes. */
- JSAMPLE colorlist[MAXNUMCOLORS];
- int numcolors; /* number of candidate colors */
- /* This array holds the actually closest colormap index for each cell. */
- JSAMPLE bestcolor[BOX_C0_ELEMS * BOX_C1_ELEMS * BOX_C2_ELEMS];
-
- /* Convert cell coordinates to update box ID */
- c0 >>= BOX_C0_LOG;
- c1 >>= BOX_C1_LOG;
- c2 >>= BOX_C2_LOG;
-
- /* Compute true coordinates of update box's origin corner.
- * Actually we compute the coordinates of the center of the corner
- * histogram cell, which are the lower bounds of the volume we care about.
- */
- minc0 = (c0 << BOX_C0_SHIFT) + ((1 << C0_SHIFT) >> 1);
- minc1 = (c1 << BOX_C1_SHIFT) + ((1 << C1_SHIFT) >> 1);
- minc2 = (c2 << BOX_C2_SHIFT) + ((1 << C2_SHIFT) >> 1);
-
- /* Determine which colormap entries are close enough to be candidates
- * for the nearest entry to some cell in the update box.
- */
- numcolors = find_nearby_colors(cinfo, minc0, minc1, minc2, colorlist);
-
- /* Determine the actually nearest colors. */
- find_best_colors(cinfo, minc0, minc1, minc2, numcolors, colorlist,
- bestcolor);
-
- /* Save the best color numbers (plus 1) in the main cache array */
- c0 <<= BOX_C0_LOG; /* convert ID back to base cell indexes */
- c1 <<= BOX_C1_LOG;
- c2 <<= BOX_C2_LOG;
- cptr = bestcolor;
- for (ic0 = 0; ic0 < BOX_C0_ELEMS; ic0++) {
- for (ic1 = 0; ic1 < BOX_C1_ELEMS; ic1++) {
- cachep = & histogram[c0+ic0][c1+ic1][c2];
- for (ic2 = 0; ic2 < BOX_C2_ELEMS; ic2++) {
+ 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;
+ register JSAMPLE * cptr; /* pointer into bestcolor[] array */
+ register histptr cachep; /* pointer into main cache array */
+ /* This array lists the candidate colormap indexes. */
+ JSAMPLE colorlist[MAXNUMCOLORS];
+ int numcolors; /* number of candidate colors */
+ /* This array holds the actually closest colormap index for each cell. */
+ JSAMPLE bestcolor[BOX_C0_ELEMS * BOX_C1_ELEMS * BOX_C2_ELEMS];
+
+ /* Convert cell coordinates to update box ID */
+ c0 >>= BOX_C0_LOG;
+ c1 >>= BOX_C1_LOG;
+ c2 >>= BOX_C2_LOG;
+
+ /* Compute true coordinates of update box's origin corner.
+ * Actually we compute the coordinates of the center of the corner
+ * histogram cell, which are the lower bounds of the volume we care about.
+ */
+ minc0 = (c0 << BOX_C0_SHIFT) + ((1 << C0_SHIFT) >> 1);
+ minc1 = (c1 << BOX_C1_SHIFT) + ((1 << C1_SHIFT) >> 1);
+ minc2 = (c2 << BOX_C2_SHIFT) + ((1 << C2_SHIFT) >> 1);
+
+ /* Determine which colormap entries are close enough to be candidates
+ * for the nearest entry to some cell in the update box.
+ */
+ numcolors = find_nearby_colors(cinfo, minc0, minc1, minc2, colorlist);
+
+ /* Determine the actually nearest colors. */
+ find_best_colors(cinfo, minc0, minc1, minc2, numcolors, colorlist,
+ bestcolor);
+
+ /* Save the best color numbers (plus 1) in the main cache array */
+ c0 <<= BOX_C0_LOG; /* convert ID back to base cell indexes */
+ c1 <<= BOX_C1_LOG;
+ c2 <<= BOX_C2_LOG;
+ cptr = bestcolor;
+ for (ic0 = 0; ic0 < BOX_C0_ELEMS; ic0++) {
+ for (ic1 = 0; ic1 < BOX_C1_ELEMS; ic1++) {
+ cachep = & histogram[c0+ic0][c1+ic1][c2];
+ for (ic2 = 0; ic2 < BOX_C2_ELEMS; ic2++) {
*cachep++ = (histcell) (GETJSAMPLE(*cptr++) + 1);
- }
- }
- }
+ }
+ }
+ }
}
@@ -913,177 +913,177 @@ fill_inverse_cmap (j_decompress_ptr cinfo, int c0, int c1, int c2)
METHODDEF(void)
pass2_no_dither (j_decompress_ptr cinfo,
- JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows)
+ JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows)
/* This version performs no dithering */
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- hist3d histogram = cquantize->histogram;
- register JSAMPROW inptr, outptr;
- register histptr cachep;
- register int c0, c1, c2;
- int row;
- JDIMENSION col;
- JDIMENSION width = cinfo->output_width;
-
- for (row = 0; row < num_rows; row++) {
- inptr = input_buf[row];
- outptr = output_buf[row];
- for (col = width; col > 0; col--) {
- /* get pixel value and index into the cache */
- c0 = GETJSAMPLE(*inptr++) >> C0_SHIFT;
- c1 = GETJSAMPLE(*inptr++) >> C1_SHIFT;
- c2 = GETJSAMPLE(*inptr++) >> C2_SHIFT;
- cachep = & histogram[c0][c1][c2];
- /* If we have not seen this color before, find nearest colormap entry */
- /* and update the cache */
- if (*cachep == 0)
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ hist3d histogram = cquantize->histogram;
+ register JSAMPROW inptr, outptr;
+ register histptr cachep;
+ register int c0, c1, c2;
+ int row;
+ JDIMENSION col;
+ JDIMENSION width = cinfo->output_width;
+
+ for (row = 0; row < num_rows; row++) {
+ inptr = input_buf[row];
+ outptr = output_buf[row];
+ for (col = width; col > 0; col--) {
+ /* get pixel value and index into the cache */
+ c0 = GETJSAMPLE(*inptr++) >> C0_SHIFT;
+ c1 = GETJSAMPLE(*inptr++) >> C1_SHIFT;
+ c2 = GETJSAMPLE(*inptr++) >> C2_SHIFT;
+ cachep = & histogram[c0][c1][c2];
+ /* If we have not seen this color before, find nearest colormap entry */
+ /* and update the cache */
+ if (*cachep == 0)
fill_inverse_cmap(cinfo, c0,c1,c2);
- /* Now emit the colormap index for this cell */
- *outptr++ = (JSAMPLE) (*cachep - 1);
- }
- }
+ /* Now emit the colormap index for this cell */
+ *outptr++ = (JSAMPLE) (*cachep - 1);
+ }
+ }
}
METHODDEF(void)
pass2_fs_dither (j_decompress_ptr cinfo,
- JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows)
+ JSAMPARRAY input_buf, JSAMPARRAY output_buf, int num_rows)
/* This version performs Floyd-Steinberg dithering */
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- hist3d histogram = cquantize->histogram;
- register LOCFSERROR cur0, cur1, cur2; /* current error or pixel value */
- LOCFSERROR belowerr0, belowerr1, belowerr2; /* error for pixel below cur */
- LOCFSERROR bpreverr0, bpreverr1, bpreverr2; /* error for below/prev col */
- register FSERRPTR errorptr; /* => fserrors[] at column before current */
- JSAMPROW inptr; /* => current input pixel */
- JSAMPROW outptr; /* => current output pixel */
- histptr cachep;
- int dir; /* +1 or -1 depending on direction */
- int dir3; /* 3*dir, for advancing inptr & errorptr */
- int row;
- JDIMENSION col;
- JDIMENSION width = cinfo->output_width;
- JSAMPLE *range_limit = cinfo->sample_range_limit;
- int *error_limit = cquantize->error_limiter;
- JSAMPROW colormap0 = cinfo->colormap[0];
- JSAMPROW colormap1 = cinfo->colormap[1];
- JSAMPROW colormap2 = cinfo->colormap[2];
- SHIFT_TEMPS
-
- for (row = 0; row < num_rows; row++) {
- inptr = input_buf[row];
- outptr = output_buf[row];
- if (cquantize->on_odd_row) {
- /* work right to left in this row */
- inptr += (width-1) * 3; /* so point to rightmost pixel */
- outptr += width-1;
- dir = -1;
- dir3 = -3;
- errorptr = cquantize->fserrors + (width+1)*3; /* => entry after last column */
- cquantize->on_odd_row = FALSE; /* flip for next time */
- } else {
- /* work left to right in this row */
- dir = 1;
- dir3 = 3;
- errorptr = cquantize->fserrors; /* => entry before first real column */
- cquantize->on_odd_row = TRUE; /* flip for next time */
- }
- /* Preset error values: no error propagated to first pixel from left */
- cur0 = cur1 = cur2 = 0;
- /* and no error propagated to row below yet */
- belowerr0 = belowerr1 = belowerr2 = 0;
- bpreverr0 = bpreverr1 = bpreverr2 = 0;
-
- for (col = width; col > 0; col--) {
- /* curN holds the error propagated from the previous pixel on the
- * current line. Add the error propagated from the previous line
- * to form the complete error correction term for this pixel, and
- * round the error term (which is expressed * 16) to an integer.
- * RIGHT_SHIFT rounds towards minus infinity, so adding 8 is correct
- * for either sign of the error value.
- * Note: errorptr points to *previous* column's array entry.
- */
- cur0 = RIGHT_SHIFT(cur0 + errorptr[dir3+0] + 8, 4);
- cur1 = RIGHT_SHIFT(cur1 + errorptr[dir3+1] + 8, 4);
- cur2 = RIGHT_SHIFT(cur2 + errorptr[dir3+2] + 8, 4);
- /* Limit the error using transfer function set by init_error_limit.
- * See comments with init_error_limit for rationale.
- */
- cur0 = error_limit[cur0];
- cur1 = error_limit[cur1];
- cur2 = error_limit[cur2];
- /* Form pixel value + error, and range-limit to 0..MAXJSAMPLE.
- * The maximum error is +- MAXJSAMPLE (or less with error limiting);
- * this sets the required size of the range_limit array.
- */
- cur0 += GETJSAMPLE(inptr[0]);
- cur1 += GETJSAMPLE(inptr[1]);
- cur2 += GETJSAMPLE(inptr[2]);
- cur0 = GETJSAMPLE(range_limit[cur0]);
- cur1 = GETJSAMPLE(range_limit[cur1]);
- cur2 = GETJSAMPLE(range_limit[cur2]);
- /* Index into the cache with adjusted pixel value */
- cachep = & histogram[cur0>>C0_SHIFT][cur1>>C1_SHIFT][cur2>>C2_SHIFT];
- /* If we have not seen this color before, find nearest colormap */
- /* entry and update the cache */
- if (*cachep == 0)
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ hist3d histogram = cquantize->histogram;
+ register LOCFSERROR cur0, cur1, cur2; /* current error or pixel value */
+ LOCFSERROR belowerr0, belowerr1, belowerr2; /* error for pixel below cur */
+ LOCFSERROR bpreverr0, bpreverr1, bpreverr2; /* error for below/prev col */
+ register FSERRPTR errorptr; /* => fserrors[] at column before current */
+ JSAMPROW inptr; /* => current input pixel */
+ JSAMPROW outptr; /* => current output pixel */
+ histptr cachep;
+ int dir; /* +1 or -1 depending on direction */
+ int dir3; /* 3*dir, for advancing inptr & errorptr */
+ int row;
+ JDIMENSION col;
+ JDIMENSION width = cinfo->output_width;
+ JSAMPLE *range_limit = cinfo->sample_range_limit;
+ int *error_limit = cquantize->error_limiter;
+ JSAMPROW colormap0 = cinfo->colormap[0];
+ JSAMPROW colormap1 = cinfo->colormap[1];
+ JSAMPROW colormap2 = cinfo->colormap[2];
+ SHIFT_TEMPS
+
+ for (row = 0; row < num_rows; row++) {
+ inptr = input_buf[row];
+ outptr = output_buf[row];
+ if (cquantize->on_odd_row) {
+ /* work right to left in this row */
+ inptr += (width-1) * 3; /* so point to rightmost pixel */
+ outptr += width-1;
+ dir = -1;
+ dir3 = -3;
+ errorptr = cquantize->fserrors + (width+1)*3; /* => entry after last column */
+ cquantize->on_odd_row = FALSE; /* flip for next time */
+ } else {
+ /* work left to right in this row */
+ dir = 1;
+ dir3 = 3;
+ errorptr = cquantize->fserrors; /* => entry before first real column */
+ cquantize->on_odd_row = TRUE; /* flip for next time */
+ }
+ /* Preset error values: no error propagated to first pixel from left */
+ cur0 = cur1 = cur2 = 0;
+ /* and no error propagated to row below yet */
+ belowerr0 = belowerr1 = belowerr2 = 0;
+ bpreverr0 = bpreverr1 = bpreverr2 = 0;
+
+ for (col = width; col > 0; col--) {
+ /* curN holds the error propagated from the previous pixel on the
+ * current line. Add the error propagated from the previous line
+ * to form the complete error correction term for this pixel, and
+ * round the error term (which is expressed * 16) to an integer.
+ * RIGHT_SHIFT rounds towards minus infinity, so adding 8 is correct
+ * for either sign of the error value.
+ * Note: errorptr points to *previous* column's array entry.
+ */
+ cur0 = RIGHT_SHIFT(cur0 + errorptr[dir3+0] + 8, 4);
+ cur1 = RIGHT_SHIFT(cur1 + errorptr[dir3+1] + 8, 4);
+ cur2 = RIGHT_SHIFT(cur2 + errorptr[dir3+2] + 8, 4);
+ /* Limit the error using transfer function set by init_error_limit.
+ * See comments with init_error_limit for rationale.
+ */
+ cur0 = error_limit[cur0];
+ cur1 = error_limit[cur1];
+ cur2 = error_limit[cur2];
+ /* Form pixel value + error, and range-limit to 0..MAXJSAMPLE.
+ * The maximum error is +- MAXJSAMPLE (or less with error limiting);
+ * this sets the required size of the range_limit array.
+ */
+ cur0 += GETJSAMPLE(inptr[0]);
+ cur1 += GETJSAMPLE(inptr[1]);
+ cur2 += GETJSAMPLE(inptr[2]);
+ cur0 = GETJSAMPLE(range_limit[cur0]);
+ cur1 = GETJSAMPLE(range_limit[cur1]);
+ cur2 = GETJSAMPLE(range_limit[cur2]);
+ /* Index into the cache with adjusted pixel value */
+ cachep = & histogram[cur0>>C0_SHIFT][cur1>>C1_SHIFT][cur2>>C2_SHIFT];
+ /* If we have not seen this color before, find nearest colormap */
+ /* entry and update the cache */
+ if (*cachep == 0)
fill_inverse_cmap(cinfo, cur0>>C0_SHIFT,cur1>>C1_SHIFT,cur2>>C2_SHIFT);
- /* Now emit the colormap index for this cell */
- { register int pixcode = *cachep - 1;
+ /* Now emit the colormap index for this cell */
+ { register int pixcode = *cachep - 1;
*outptr = (JSAMPLE) pixcode;
/* Compute representation error for this pixel */
cur0 -= GETJSAMPLE(colormap0[pixcode]);
cur1 -= GETJSAMPLE(colormap1[pixcode]);
cur2 -= GETJSAMPLE(colormap2[pixcode]);
- }
- /* Compute error fractions to be propagated to adjacent pixels.
- * Add these into the running sums, and simultaneously shift the
- * next-line error sums left by 1 column.
- */
- { register LOCFSERROR bnexterr, delta;
-
- bnexterr = cur0; /* Process component 0 */
+ }
+ /* Compute error fractions to be propagated to adjacent pixels.
+ * Add these into the running sums, and simultaneously shift the
+ * next-line error sums left by 1 column.
+ */
+ { register LOCFSERROR bnexterr, delta;
+
+ bnexterr = cur0; /* Process component 0 */
delta = cur0 * 2;
- cur0 += delta; /* form error * 3 */
+ cur0 += delta; /* form error * 3 */
errorptr[0] = (FSERROR) (bpreverr0 + cur0);
- cur0 += delta; /* form error * 5 */
+ cur0 += delta; /* form error * 5 */
bpreverr0 = belowerr0 + cur0;
belowerr0 = bnexterr;
- cur0 += delta; /* form error * 7 */
- bnexterr = cur1; /* Process component 1 */
+ cur0 += delta; /* form error * 7 */
+ bnexterr = cur1; /* Process component 1 */
delta = cur1 * 2;
- cur1 += delta; /* form error * 3 */
+ cur1 += delta; /* form error * 3 */
errorptr[1] = (FSERROR) (bpreverr1 + cur1);
- cur1 += delta; /* form error * 5 */
+ cur1 += delta; /* form error * 5 */
bpreverr1 = belowerr1 + cur1;
belowerr1 = bnexterr;
- cur1 += delta; /* form error * 7 */
- bnexterr = cur2; /* Process component 2 */
+ cur1 += delta; /* form error * 7 */
+ bnexterr = cur2; /* Process component 2 */
delta = cur2 * 2;
- cur2 += delta; /* form error * 3 */
+ cur2 += delta; /* form error * 3 */
errorptr[2] = (FSERROR) (bpreverr2 + cur2);
- cur2 += delta; /* form error * 5 */
+ cur2 += delta; /* form error * 5 */
bpreverr2 = belowerr2 + cur2;
belowerr2 = bnexterr;
- cur2 += delta; /* form error * 7 */
- }
- /* At this point curN contains the 7/16 error value to be propagated
- * to the next pixel on the current line, and all the errors for the
- * next line have been shifted over. We are therefore ready to move on.
- */
- inptr += dir3; /* Advance pixel pointers to next column */
- outptr += dir;
- errorptr += dir3; /* advance errorptr to current column */
- }
- /* Post-loop cleanup: we must unload the final error values into the
- * final fserrors[] entry. Note we need not unload belowerrN because
- * it is for the dummy column before or after the actual array.
- */
- errorptr[0] = (FSERROR) bpreverr0; /* unload prev errs into array */
- errorptr[1] = (FSERROR) bpreverr1;
- errorptr[2] = (FSERROR) bpreverr2;
- }
+ cur2 += delta; /* form error * 7 */
+ }
+ /* At this point curN contains the 7/16 error value to be propagated
+ * to the next pixel on the current line, and all the errors for the
+ * next line have been shifted over. We are therefore ready to move on.
+ */
+ inptr += dir3; /* Advance pixel pointers to next column */
+ outptr += dir;
+ errorptr += dir3; /* advance errorptr to current column */
+ }
+ /* Post-loop cleanup: we must unload the final error values into the
+ * final fserrors[] entry. Note we need not unload belowerrN because
+ * it is for the dummy column before or after the actual array.
+ */
+ errorptr[0] = (FSERROR) bpreverr0; /* unload prev errs into array */
+ errorptr[1] = (FSERROR) bpreverr1;
+ errorptr[2] = (FSERROR) bpreverr2;
+ }
}
@@ -1108,29 +1108,29 @@ LOCAL(void)
init_error_limit (j_decompress_ptr cinfo)
/* Allocate and fill in the error_limiter table */
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- int * table;
- int in, out;
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ int * table;
+ int in, out;
- table = (int *) (*cinfo->mem->alloc_small)
- ((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE*2+1) * SIZEOF(int));
- table += MAXJSAMPLE; /* so can index -MAXJSAMPLE .. +MAXJSAMPLE */
- cquantize->error_limiter = table;
+ table = (int *) (*cinfo->mem->alloc_small)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE*2+1) * SIZEOF(int));
+ table += MAXJSAMPLE; /* so can index -MAXJSAMPLE .. +MAXJSAMPLE */
+ cquantize->error_limiter = table;
#define STEPSIZE ((MAXJSAMPLE+1)/16)
- /* Map errors 1:1 up to +- MAXJSAMPLE/16 */
- out = 0;
- for (in = 0; in < STEPSIZE; in++, out++) {
- table[in] = out; table[-in] = -out;
- }
- /* Map errors 1:2 up to +- 3*MAXJSAMPLE/16 */
- for (; in < STEPSIZE*3; in++, out += (in&1) ? 0 : 1) {
- table[in] = out; table[-in] = -out;
- }
- /* Clamp the rest to final out value (which is (MAXJSAMPLE+1)/8) */
- for (; in <= MAXJSAMPLE; in++) {
- table[in] = out; table[-in] = -out;
- }
+ /* Map errors 1:1 up to +- MAXJSAMPLE/16 */
+ out = 0;
+ for (in = 0; in < STEPSIZE; in++, out++) {
+ table[in] = out; table[-in] = -out;
+ }
+ /* Map errors 1:2 up to +- 3*MAXJSAMPLE/16 */
+ for (; in < STEPSIZE*3; in++, out += (in&1) ? 0 : 1) {
+ table[in] = out; table[-in] = -out;
+ }
+ /* Clamp the rest to final out value (which is (MAXJSAMPLE+1)/8) */
+ for (; in <= MAXJSAMPLE; in++) {
+ table[in] = out; table[-in] = -out;
+ }
#undef STEPSIZE
}
@@ -1142,20 +1142,20 @@ init_error_limit (j_decompress_ptr cinfo)
METHODDEF(void)
finish_pass1 (j_decompress_ptr cinfo)
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- /* Select the representative colors and fill in cinfo->colormap */
- cinfo->colormap = cquantize->sv_colormap;
- select_colors(cinfo, cquantize->desired);
- /* Force next pass to zero the color index table */
- cquantize->needs_zeroed = TRUE;
+ /* Select the representative colors and fill in cinfo->colormap */
+ cinfo->colormap = cquantize->sv_colormap;
+ select_colors(cinfo, cquantize->desired);
+ /* Force next pass to zero the color index table */
+ cquantize->needs_zeroed = TRUE;
}
METHODDEF(void)
finish_pass2 (j_decompress_ptr cinfo)
{
- /* no work */
+ /* no work */
}
@@ -1166,59 +1166,59 @@ finish_pass2 (j_decompress_ptr cinfo)
METHODDEF(void)
start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan)
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- hist3d histogram = cquantize->histogram;
- int i;
-
- /* Only F-S dithering or no dithering is supported. */
- /* If user asks for ordered dither, give him F-S. */
- if (cinfo->dither_mode != JDITHER_NONE)
- cinfo->dither_mode = JDITHER_FS;
-
- if (is_pre_scan) {
- /* Set up method pointers */
- cquantize->pub.color_quantize = prescan_quantize;
- cquantize->pub.finish_pass = finish_pass1;
- cquantize->needs_zeroed = TRUE; /* Always zero histogram */
- } else {
- /* Set up method pointers */
- if (cinfo->dither_mode == JDITHER_FS)
- cquantize->pub.color_quantize = pass2_fs_dither;
- else
- cquantize->pub.color_quantize = pass2_no_dither;
- cquantize->pub.finish_pass = finish_pass2;
-
- /* Make sure color count is acceptable */
- i = cinfo->actual_number_of_colors;
- if (i < 1)
- ERREXIT1(cinfo, JERR_QUANT_FEW_COLORS, 1);
- if (i > MAXNUMCOLORS)
- ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS);
-
- if (cinfo->dither_mode == JDITHER_FS) {
- size_t arraysize = (size_t) ((cinfo->output_width + 2) *
- (3 * SIZEOF(FSERROR)));
- /* Allocate Floyd-Steinberg workspace if we didn't already. */
- if (cquantize->fserrors == NULL)
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ hist3d histogram = cquantize->histogram;
+ int i;
+
+ /* Only F-S dithering or no dithering is supported. */
+ /* If user asks for ordered dither, give him F-S. */
+ if (cinfo->dither_mode != JDITHER_NONE)
+ cinfo->dither_mode = JDITHER_FS;
+
+ if (is_pre_scan) {
+ /* Set up method pointers */
+ cquantize->pub.color_quantize = prescan_quantize;
+ cquantize->pub.finish_pass = finish_pass1;
+ cquantize->needs_zeroed = TRUE; /* Always zero histogram */
+ } else {
+ /* Set up method pointers */
+ if (cinfo->dither_mode == JDITHER_FS)
+ cquantize->pub.color_quantize = pass2_fs_dither;
+ else
+ cquantize->pub.color_quantize = pass2_no_dither;
+ cquantize->pub.finish_pass = finish_pass2;
+
+ /* Make sure color count is acceptable */
+ i = cinfo->actual_number_of_colors;
+ if (i < 1)
+ ERREXIT1(cinfo, JERR_QUANT_FEW_COLORS, 1);
+ if (i > MAXNUMCOLORS)
+ ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS);
+
+ if (cinfo->dither_mode == JDITHER_FS) {
+ size_t arraysize = (size_t) ((cinfo->output_width + 2) *
+ (3 * SIZEOF(FSERROR)));
+ /* Allocate Floyd-Steinberg workspace if we didn't already. */
+ if (cquantize->fserrors == NULL)
cquantize->fserrors = (FSERRPTR) (*cinfo->mem->alloc_large)
- ((j_common_ptr) cinfo, JPOOL_IMAGE, arraysize);
- /* Initialize the propagated errors to zero. */
- jzero_far((void FAR *) cquantize->fserrors, arraysize);
- /* Make the error-limit table if we didn't already. */
- if (cquantize->error_limiter == NULL)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE, arraysize);
+ /* Initialize the propagated errors to zero. */
+ jzero_far((void FAR *) cquantize->fserrors, arraysize);
+ /* Make the error-limit table if we didn't already. */
+ if (cquantize->error_limiter == NULL)
init_error_limit(cinfo);
- cquantize->on_odd_row = FALSE;
- }
-
- }
- /* Zero the histogram or inverse color map, if necessary */
- if (cquantize->needs_zeroed) {
- for (i = 0; i < HIST_C0_ELEMS; i++) {
- jzero_far((void FAR *) histogram[i],
+ cquantize->on_odd_row = FALSE;
+ }
+
+ }
+ /* Zero the histogram or inverse color map, if necessary */
+ if (cquantize->needs_zeroed) {
+ for (i = 0; i < HIST_C0_ELEMS; i++) {
+ jzero_far((void FAR *) histogram[i],
HIST_C1_ELEMS*HIST_C2_ELEMS * SIZEOF(histcell));
- }
- cquantize->needs_zeroed = FALSE;
- }
+ }
+ cquantize->needs_zeroed = FALSE;
+ }
}
@@ -1229,10 +1229,10 @@ start_pass_2_quant (j_decompress_ptr cinfo, boolean is_pre_scan)
METHODDEF(void)
new_color_map_2_quant (j_decompress_ptr cinfo)
{
- my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
+ my_cquantize_ptr cquantize = (my_cquantize_ptr) cinfo->cquantize;
- /* Reset the inverse color map */
- cquantize->needs_zeroed = TRUE;
+ /* Reset the inverse color map */
+ cquantize->needs_zeroed = TRUE;
}
@@ -1243,68 +1243,68 @@ new_color_map_2_quant (j_decompress_ptr cinfo)
GLOBAL(void)
jinit_2pass_quantizer (j_decompress_ptr cinfo)
{
- my_cquantize_ptr cquantize;
- int i;
+ my_cquantize_ptr cquantize;
+ int i;
- cquantize = (my_cquantize_ptr)
- (*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
+ cquantize = (my_cquantize_ptr)
+ (*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_cquantizer));
- cinfo->cquantize = (struct jpeg_color_quantizer *) cquantize;
- cquantize->pub.start_pass = start_pass_2_quant;
- cquantize->pub.new_color_map = new_color_map_2_quant;
- cquantize->fserrors = NULL; /* flag optional arrays not allocated */
- cquantize->error_limiter = NULL;
-
- /* Make sure jdmaster didn't give me a case I can't handle */
- if (cinfo->out_color_components != 3)
- ERREXIT(cinfo, JERR_NOTIMPL);
-
- /* Allocate the histogram/inverse colormap storage */
- cquantize->histogram = (hist3d) (*cinfo->mem->alloc_small)
- ((j_common_ptr) cinfo, JPOOL_IMAGE, HIST_C0_ELEMS * SIZEOF(hist2d));
- for (i = 0; i < HIST_C0_ELEMS; i++) {
- cquantize->histogram[i] = (hist2d) (*cinfo->mem->alloc_large)
- ((j_common_ptr) cinfo, JPOOL_IMAGE,
- HIST_C1_ELEMS*HIST_C2_ELEMS * SIZEOF(histcell));
- }
- cquantize->needs_zeroed = TRUE; /* histogram is garbage now */
-
- /* Allocate storage for the completed colormap, if required.
- * We do this now since it is FAR storage and may affect
- * the memory manager's space calculations.
- */
- if (cinfo->enable_2pass_quant) {
- /* Make sure color count is acceptable */
- int desired = cinfo->desired_number_of_colors;
- /* Lower bound on # of colors ... somewhat arbitrary as long as > 0 */
- if (desired < 8)
- ERREXIT1(cinfo, JERR_QUANT_FEW_COLORS, 8);
- /* Make sure colormap indexes can be represented by JSAMPLEs */
- if (desired > MAXNUMCOLORS)
- ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS);
- cquantize->sv_colormap = (*cinfo->mem->alloc_sarray)
- ((j_common_ptr) cinfo,JPOOL_IMAGE, (JDIMENSION) desired, (JDIMENSION) 3);
- cquantize->desired = desired;
- } else
- cquantize->sv_colormap = NULL;
-
- /* Only F-S dithering or no dithering is supported. */
- /* If user asks for ordered dither, give him F-S. */
- if (cinfo->dither_mode != JDITHER_NONE)
- cinfo->dither_mode = JDITHER_FS;
-
- /* Allocate Floyd-Steinberg workspace if necessary.
- * This isn't really needed until pass 2, but again it is FAR storage.
- * Although we will cope with a later change in dither_mode,
- * we do not promise to honor max_memory_to_use if dither_mode changes.
- */
- if (cinfo->dither_mode == JDITHER_FS) {
- cquantize->fserrors = (FSERRPTR) (*cinfo->mem->alloc_large)
- ((j_common_ptr) cinfo, JPOOL_IMAGE,
- (size_t) ((cinfo->output_width + 2) * (3 * SIZEOF(FSERROR))));
- /* Might as well create the error-limiting table too. */
- init_error_limit(cinfo);
- }
+ cinfo->cquantize = (struct jpeg_color_quantizer *) cquantize;
+ cquantize->pub.start_pass = start_pass_2_quant;
+ cquantize->pub.new_color_map = new_color_map_2_quant;
+ cquantize->fserrors = NULL; /* flag optional arrays not allocated */
+ cquantize->error_limiter = NULL;
+
+ /* Make sure jdmaster didn't give me a case I can't handle */
+ if (cinfo->out_color_components != 3)
+ ERREXIT(cinfo, JERR_NOTIMPL);
+
+ /* Allocate the histogram/inverse colormap storage */
+ cquantize->histogram = (hist3d) (*cinfo->mem->alloc_small)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE, HIST_C0_ELEMS * SIZEOF(hist2d));
+ for (i = 0; i < HIST_C0_ELEMS; i++) {
+ cquantize->histogram[i] = (hist2d) (*cinfo->mem->alloc_large)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE,
+ HIST_C1_ELEMS*HIST_C2_ELEMS * SIZEOF(histcell));
+ }
+ cquantize->needs_zeroed = TRUE; /* histogram is garbage now */
+
+ /* Allocate storage for the completed colormap, if required.
+ * We do this now since it is FAR storage and may affect
+ * the memory manager's space calculations.
+ */
+ if (cinfo->enable_2pass_quant) {
+ /* Make sure color count is acceptable */
+ int desired = cinfo->desired_number_of_colors;
+ /* Lower bound on # of colors ... somewhat arbitrary as long as > 0 */
+ if (desired < 8)
+ ERREXIT1(cinfo, JERR_QUANT_FEW_COLORS, 8);
+ /* Make sure colormap indexes can be represented by JSAMPLEs */
+ if (desired > MAXNUMCOLORS)
+ ERREXIT1(cinfo, JERR_QUANT_MANY_COLORS, MAXNUMCOLORS);
+ cquantize->sv_colormap = (*cinfo->mem->alloc_sarray)
+ ((j_common_ptr) cinfo,JPOOL_IMAGE, (JDIMENSION) desired, (JDIMENSION) 3);
+ cquantize->desired = desired;
+ } else
+ cquantize->sv_colormap = NULL;
+
+ /* Only F-S dithering or no dithering is supported. */
+ /* If user asks for ordered dither, give him F-S. */
+ if (cinfo->dither_mode != JDITHER_NONE)
+ cinfo->dither_mode = JDITHER_FS;
+
+ /* Allocate Floyd-Steinberg workspace if necessary.
+ * This isn't really needed until pass 2, but again it is FAR storage.
+ * Although we will cope with a later change in dither_mode,
+ * we do not promise to honor max_memory_to_use if dither_mode changes.
+ */
+ if (cinfo->dither_mode == JDITHER_FS) {
+ cquantize->fserrors = (FSERRPTR) (*cinfo->mem->alloc_large)
+ ((j_common_ptr) cinfo, JPOOL_IMAGE,
+ (size_t) ((cinfo->output_width + 2) * (3 * SIZEOF(FSERROR))));
+ /* Might as well create the error-limiting table too. */
+ init_error_limit(cinfo);
+ }
}
#endif /* QUANT_2PASS_SUPPORTED */