LIQ_PRIVATE double viter_do_iteration(histogram *hist, colormap *const map, const float min_opaque_val, viter_callback callback, const bool fast_palette)
{
const unsigned int max_threads = omp_get_max_threads();
// viter_state average_color[(VITER_CACHE_LINE_GAP+map->colors) * max_threads];
viter_state *average_color = (viter_state *)malloc((VITER_CACHE_LINE_GAP+map->colors) * max_threads);
viter_init(map, max_threads, average_color);
struct nearest_map *const n = nearest_init(map, fast_palette);
hist_item *const achv = hist->achv;
const int hist_size = hist->size;
double total_diff=0;
#pragma omp parallel for if (hist_size > 3000) \
schedule(static) default(none) shared(average_color,callback) reduction(+:total_diff)
for(int j=0; j < hist_size; j++) {
float diff;
unsigned int match = nearest_search(n, achv[j].acolor, achv[j].likely_colormap_index, min_opaque_val, &diff);
achv[j].likely_colormap_index = match;
total_diff += diff * achv[j].perceptual_weight;
viter_update_color(achv[j].acolor, achv[j].perceptual_weight, map, match, omp_get_thread_num(), average_color);
if (callback) callback(&achv[j], diff);
}
nearest_free(n);
viter_finalize(map, max_threads, average_color);
free(average_color);
return total_diff / hist->total_perceptual_weight;
}
void viter_finalize(colormap *map, const int max_threads, const viter_state average_color[])
{
for (int i=0; i < map->colors; i++) {
double a=0, r=0, g=0, b=0, total=0;
// Aggregate results from all threads
for(int t=0; t < max_threads; t++) {
const int offset = map->colors * t + i;
a += average_color[offset].a;
r += average_color[offset].r;
g += average_color[offset].g;
b += average_color[offset].b;
total += average_color[offset].total;
}
if (total) {
map->palette[i].acolor = (f_pixel){
.a = a / total,
.r = r / total,
.g = g / total,
.b = b / total,
};
}
map->palette[i].popularity = total;
}
}
double viter_do_iteration(histogram *hist, colormap *const map, const float min_opaque_val, viter_callback callback)
{
const int max_threads = omp_get_max_threads();
viter_state average_color[map->colors * max_threads];
viter_init(map, max_threads, average_color);
struct nearest_map *const n = nearest_init(map);
hist_item *const achv = hist->achv;
const int hist_size = hist->size;
double total_diff=0;
#pragma omp parallel for if (hist_size > 3000) \
default(none) shared(average_color,callback) reduction(+:total_diff)
for(int j=0; j < hist_size; j++) {
float diff;
int match = nearest_search(n, achv[j].acolor, min_opaque_val, &diff);
total_diff += diff * achv[j].perceptual_weight;
viter_update_color(achv[j].acolor, achv[j].perceptual_weight, map, match, omp_get_thread_num(), average_color);
if (callback) callback(&achv[j], diff);
}
nearest_free(n);
viter_finalize(map, max_threads, average_color);
return total_diff / hist->total_perceptual_weight;
}
float remap_to_palette(read_info *input_image, write_info *output_image, colormap *map, float min_opaque_val, int ie_bug)
{
rgb_pixel **input_pixels = (rgb_pixel **)input_image->row_pointers;
unsigned char **row_pointers = output_image->row_pointers;
int rows = input_image->height, cols = input_image->width;
double gamma = input_image->gamma;
int remapped_pixels=0;
float remapping_error=0;
int transparent_ind = best_color_index((f_pixel){0,0,0,0}, map, min_opaque_val, NULL);
f_pixel average_color[map->colors];
float average_color_count[map->colors];
viter_init(map, average_color, average_color_count, NULL, NULL);
for (int row = 0; row < rows; ++row) {
for(int col = 0; col < cols; ++col) {
f_pixel px = to_f(gamma, input_pixels[row][col]);
int match;
if (px.a < 1.0/256.0) {
match = transparent_ind;
} else {
float diff;
match = best_color_index(px, map,min_opaque_val, &diff);
remapped_pixels++;
remapping_error += diff;
}
row_pointers[row][col] = match;
viter_update_color(px, 1.0, map, match, average_color, average_color_count, NULL, NULL);
}
}
viter_finalize(map, average_color, average_color_count);
return remapping_error / MAX(1,remapped_pixels);
}
void viter_finalize(colormap *map, f_pixel *average_color, float *average_color_count)
{
for (int i=0; i < map->colors; i++) {
if (average_color_count[i]) {
map->palette[i].acolor = (f_pixel){
.a = (average_color[i].a) / average_color_count[i],
.r = (average_color[i].r) / average_color_count[i],
.g = (average_color[i].g) / average_color_count[i],
.b = (average_color[i].b) / average_color_count[i],
};
}
map->palette[i].popularity = average_color_count[i];
}
}
double viter_do_iteration(const hist *hist, colormap *map, float min_opaque_val)
{
f_pixel average_color[map->colors];
float average_color_count[map->colors];
hist_item *achv = hist->achv;
viter_init(map, average_color,average_color_count);
struct nearest_map *n = nearest_init(map);
double total_diff=0;
for(int j=0; j < hist->size; j++) {
float diff;
int match = nearest_search(n, achv[j].acolor, min_opaque_val, &diff);
total_diff += diff * achv[j].perceptual_weight;
viter_update_color(achv[j].acolor, achv[j].perceptual_weight, map, match, average_color,average_color_count);
}
nearest_free(n);
viter_finalize(map, average_color,average_color_count);
return total_diff / hist->total_perceptual_weight;
}
/*
* Voronoi iteration: new palette color is computed from weighted average of colors that map to that palette entry.
*/
static void viter_init(const colormap *map,
f_pixel *average_color, float *average_color_count,
f_pixel *base_color, float *base_color_count)
{
colormap_item *newmap = map->palette;
int newcolors = map->colors;
for (int i=0; i < newcolors; i++) {
average_color_count[i] = 0;
average_color[i] = (f_pixel){0,0,0,0};
}
// Rather than only using separate mapping and averaging steps
// new palette colors are computed at the same time as mapping is done
// but to avoid first few matches moving the entry too much
// some base color and weight is added
if (base_color) {
for (int i=0; i < newcolors; i++) {
float value = 1.0+newmap[i].popularity/2.0;
base_color_count[i] = value;
base_color[i] = (f_pixel){
.a = newmap[i].acolor.a * value,
.r = newmap[i].acolor.r * value,
.g = newmap[i].acolor.g * value,
.b = newmap[i].acolor.b * value,
};
}
}
}
static void viter_update_color(f_pixel acolor, float value, colormap *map, int match,
f_pixel *average_color, float *average_color_count,
const f_pixel *base_color, const float *base_color_count)
{
average_color[match].a += acolor.a * value;
average_color[match].r += acolor.r * value;
average_color[match].g += acolor.g * value;
average_color[match].b += acolor.b * value;
average_color_count[match] += value;
if (base_color) {
map->palette[match].acolor = (f_pixel){
.a = (average_color[match].a + base_color[match].a) / (average_color_count[match] + base_color_count[match]),
.r = (average_color[match].r + base_color[match].r) / (average_color_count[match] + base_color_count[match]),
.g = (average_color[match].g + base_color[match].g) / (average_color_count[match] + base_color_count[match]),
.b = (average_color[match].b + base_color[match].b) / (average_color_count[match] + base_color_count[match]),
};
}
}
static void viter_finalize(colormap *map, f_pixel *average_color, float *average_color_count)
{
for (int i=0; i < map->colors; i++) {
if (average_color_count[i]) {
map->palette[i].acolor = (f_pixel){
.a = (average_color[i].a) / average_color_count[i],
.r = (average_color[i].r) / average_color_count[i],
.g = (average_color[i].g) / average_color_count[i],
.b = (average_color[i].b) / average_color_count[i],
};
}
map->palette[i].popularity = average_color_count[i];
}
}
void viter_do_interation(const hist *hist, colormap *map, float min_opaque_val)
{
f_pixel average_color[map->colors];
float average_color_count[map->colors];
hist_item *achv = hist->achv;
viter_init(map, average_color,average_color_count, NULL,NULL);
for(int j=0; j < hist->size; j++) {
int match = best_color_index(achv[j].acolor, map, min_opaque_val, NULL);
viter_update_color(achv[j].acolor, achv[j].perceptual_weight, map, match, average_color,average_color_count, NULL,NULL);
}
viter_finalize(map, average_color,average_color_count);
}
pngquant_error pngquant(read_info *input_image, write_info *output_image, int floyd, int reqcolors, int ie_bug, int speed_tradeoff)
{
float min_opaque_val;
verbose_printf(" reading file corrected for gamma %2.1f\n", 1.0/input_image->gamma);
min_opaque_val = modify_alpha(input_image,ie_bug);
assert(min_opaque_val>0);
hist *hist = histogram(input_image, reqcolors, speed_tradeoff);
hist_item *achv = hist->achv;
colormap *acolormap = NULL;
float least_error = -1;
int feedback_loop_trials = 56-9*speed_tradeoff;
const double percent = (double)(feedback_loop_trials>0?feedback_loop_trials:1)/100.0;
do
{
verbose_printf(" selecting colors");
colormap *newmap = mediancut(hist, min_opaque_val, reqcolors);
verbose_printf("...");
float total_error=0;
f_pixel average_color[newmap->colors], base_color[newmap->colors];
float average_color_count[newmap->colors], base_color_count[newmap->colors];
if (feedback_loop_trials) {
viter_init(newmap, average_color,average_color_count,base_color,base_color_count);
for(int i=0; i < hist->size; i++) {
float diff;
int match = best_color_index(achv[i].acolor, newmap, min_opaque_val, &diff);
assert(diff >= 0);
assert(achv[i].perceptual_weight > 0);
total_error += diff * achv[i].perceptual_weight;
viter_update_color(achv[i].acolor, achv[i].perceptual_weight, newmap, match,
average_color,average_color_count,base_color,base_color_count);
achv[i].adjusted_weight = (achv[i].perceptual_weight+achv[i].adjusted_weight) * (1.0+sqrtf(diff));
}
}
if (total_error < least_error || !acolormap) {
if (acolormap) pam_freecolormap(acolormap);
acolormap = newmap;
viter_finalize(acolormap, average_color,average_color_count);
least_error = total_error;
feedback_loop_trials -= 1; // asymptotic improvement could make it go on forever
} else {
feedback_loop_trials -= 6;
if (total_error > least_error*4) feedback_loop_trials -= 3;
pam_freecolormap(newmap);
}
verbose_printf("%d%%\n",100-MAX(0,(int)(feedback_loop_trials/percent)));
}
while(feedback_loop_trials > 0);
verbose_printf(" moving colormap towards local minimum\n");
int iterations = MAX(5-speed_tradeoff,0); iterations *= iterations;
for(int i=0; i < iterations; i++) {
viter_do_interation(hist, acolormap, min_opaque_val);
}
pam_freeacolorhist(hist);
output_image->width = input_image->width;
output_image->height = input_image->height;
output_image->gamma = 0.45455;
/*
** Step 3.7 [GRR]: allocate memory for the entire indexed image
*/
output_image->indexed_data = malloc(output_image->height * output_image->width);
output_image->row_pointers = malloc(output_image->height * sizeof(output_image->row_pointers[0]));
if (!output_image->indexed_data || !output_image->row_pointers) {
fprintf(stderr, " insufficient memory for indexed data and/or row pointers\n");
return OUT_OF_MEMORY_ERROR;
}
for (int row = 0; row < output_image->height; ++row) {
output_image->row_pointers[row] = output_image->indexed_data + row*output_image->width;
}
// tRNS, etc.
sort_palette(output_image, acolormap);
/*
** Step 4: map the colors in the image to their closest match in the
** new colormap, and write 'em out.
*/
verbose_printf(" mapping image to new colors...");
float remapping_error;
if (floyd) {
// if dithering, save rounding error and stick to that palette
// otherwise palette can be improved after remapping
set_palette(output_image, acolormap);
remapping_error = remap_to_palette_floyd(input_image, output_image, acolormap, min_opaque_val, ie_bug);
} else {
remapping_error = remap_to_palette(input_image, output_image, acolormap, min_opaque_val, ie_bug);
set_palette(output_image, acolormap);
}
verbose_printf("MSE=%.3f\n", remapping_error*256.0f);
pam_freecolormap(acolormap);
return SUCCESS;
}
