207 lines
6.8 KiB
C
207 lines
6.8 KiB
C
/*
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© 2011-2015 by Kornel Lesiński.
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This file is part of libimagequant.
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libimagequant is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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libimagequant is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with libimagequant. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "libimagequant.h"
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#include "pam.h"
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#include "nearest.h"
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#include "mempool.h"
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#include <stdlib.h>
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typedef struct vp_sort_tmp {
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float distance_squared;
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unsigned int idx;
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} vp_sort_tmp;
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typedef struct vp_search_tmp {
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float distance;
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unsigned int idx;
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int exclude;
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} vp_search_tmp;
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typedef struct vp_node {
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struct vp_node *near, *far;
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f_pixel vantage_point;
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float radius;
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unsigned int idx;
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} vp_node;
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struct nearest_map {
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vp_node *root;
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const colormap_item *palette;
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float nearest_other_color_dist[256];
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mempool mempool;
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};
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static void vp_search_node(const vp_node *node, const f_pixel *const needle, vp_search_tmp *const best_candidate);
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static int vp_compare_distance(const void *ap, const void *bp) {
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float a = ((const vp_sort_tmp*)ap)->distance_squared;
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float b = ((const vp_sort_tmp*)bp)->distance_squared;
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return a > b ? 1 : -1;
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}
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static void vp_sort_indexes_by_distance(const f_pixel vantage_point, vp_sort_tmp *indexes, int num_indexes, const colormap_item items[]) {
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for(int i=0; i < num_indexes; i++) {
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indexes[i].distance_squared = colordifference(vantage_point, items[indexes[i].idx].acolor);
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}
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qsort(indexes, num_indexes, sizeof(indexes[0]), vp_compare_distance);
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}
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/*
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* Usually it should pick farthest point, but picking most popular point seems to make search quicker anyway
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*/
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static int vp_find_best_vantage_point_index(vp_sort_tmp *indexes, int num_indexes, const colormap_item items[]) {
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int best = 0;
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float best_popularity = items[indexes[0].idx].popularity;
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for(int i = 1; i < num_indexes; i++) {
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if (items[indexes[i].idx].popularity > best_popularity) {
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best_popularity = items[indexes[i].idx].popularity;
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best = i;
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}
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}
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return best;
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}
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static vp_node *vp_create_node(mempool *m, vp_sort_tmp *indexes, int num_indexes, const colormap_item items[]) {
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if (num_indexes <= 0) {
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return NULL;
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}
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vp_node *node = mempool_alloc(m, sizeof(node[0]), 0);
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if (num_indexes == 1) {
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*node = (vp_node){
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.vantage_point = items[indexes[0].idx].acolor,
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.idx = indexes[0].idx,
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.radius = MAX_DIFF,
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};
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return node;
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}
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const int ref = vp_find_best_vantage_point_index(indexes, num_indexes, items);
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const int ref_idx = indexes[ref].idx;
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// Removes the `ref_idx` item from remaining items, because it's included in the current node
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num_indexes -= 1;
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indexes[ref] = indexes[num_indexes];
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vp_sort_indexes_by_distance(items[ref_idx].acolor, indexes, num_indexes, items);
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// Remaining items are split by the median distance
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const int half_idx = num_indexes/2;
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*node = (vp_node){
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.vantage_point = items[ref_idx].acolor,
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.idx = ref_idx,
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.radius = sqrtf(indexes[half_idx].distance_squared),
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};
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node->near = vp_create_node(m, indexes, half_idx, items);
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node->far = vp_create_node(m, &indexes[half_idx], num_indexes - half_idx, items);
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return node;
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}
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LIQ_PRIVATE struct nearest_map *nearest_init(const colormap *map, const bool fast) {
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mempool m = NULL;
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struct nearest_map *handle = mempool_create(&m, sizeof(handle[0]), sizeof(handle[0]) + sizeof(vp_node)*map->colors+16, map->malloc, map->free);
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vp_sort_tmp indexes[map->colors];
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for(unsigned int i=0; i < map->colors; i++) {
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indexes[i].idx = i;
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}
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vp_node *root = vp_create_node(&m, indexes, map->colors, map->palette);
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*handle = (struct nearest_map){
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.root = root,
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.palette = map->palette,
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.mempool = m,
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};
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for(unsigned int i=0; i < map->colors; i++) {
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vp_search_tmp best = {
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.distance = MAX_DIFF,
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.exclude = i,
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};
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vp_search_node(root, &map->palette[i].acolor, &best);
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handle->nearest_other_color_dist[i] = best.distance * best.distance / 4.0; // half of squared distance
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}
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return handle;
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}
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static void vp_search_node(const vp_node *node, const f_pixel *const needle, vp_search_tmp *const best_candidate) {
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do {
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const float distance = sqrtf(colordifference(node->vantage_point, *needle));
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if (distance < best_candidate->distance && best_candidate->exclude != node->idx) {
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best_candidate->distance = distance;
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best_candidate->idx = node->idx;
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}
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// Recurse towards most likely candidate first to narrow best candidate's distance as soon as possible
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if (distance < node->radius) {
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if (node->near) {
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vp_search_node(node->near, needle, best_candidate);
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}
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// The best node (final answer) may be just ouside the radius, but not farther than
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// the best distance we know so far. The vp_search_node above should have narrowed
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// best_candidate->distance, so this path is rarely taken.
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if (node->far && distance >= node->radius - best_candidate->distance) {
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node = node->far; // Fast tail recursion
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} else {
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break;
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}
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} else {
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if (node->far) {
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vp_search_node(node->far, needle, best_candidate);
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}
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if (node->near && distance <= node->radius + best_candidate->distance) {
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node = node->near; // Fast tail recursion
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} else {
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break;
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}
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}
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} while(true);
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}
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LIQ_PRIVATE unsigned int nearest_search(const struct nearest_map *handle, const f_pixel *px, const int likely_colormap_index, float *diff) {
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const float guess_diff = colordifference(handle->palette[likely_colormap_index].acolor, *px);
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if (guess_diff < handle->nearest_other_color_dist[likely_colormap_index]) {
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if (diff) *diff = guess_diff;
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return likely_colormap_index;
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}
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vp_search_tmp best_candidate = {
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.distance = sqrtf(guess_diff),
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.idx = likely_colormap_index,
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.exclude = -1,
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};
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vp_search_node(handle->root, px, &best_candidate);
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if (diff) {
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*diff = best_candidate.distance * best_candidate.distance;
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}
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return best_candidate.idx;
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}
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LIQ_PRIVATE void nearest_free(struct nearest_map *centroids)
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{
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mempool_destroy(centroids->mempool);
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}
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