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Diffstat (limited to 'src/dither.c')
-rw-r--r-- | src/dither.c | 317 |
1 files changed, 317 insertions, 0 deletions
diff --git a/src/dither.c b/src/dither.c new file mode 100644 index 0000000..13f68e4 --- /dev/null +++ b/src/dither.c @@ -0,0 +1,317 @@ +/* + * Generate a noise texture for dithering images. + * Copyright © 2013 Wessel Dankers <wsl@fruit.je> + * + * This file is part of libplacebo. + * + * libplacebo is free software; you can redistribute it and/or + * modify it under the terms of the GNU Lesser General Public + * License as published by the Free Software Foundation; either + * version 2.1 of the License, or (at your option) any later version. + * + * libplacebo is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU Lesser General Public License for more details. + * + * You should have received a copy of the GNU Lesser General Public + * License along with libplacebo. If not, see <http://www.gnu.org/licenses/>. + * + * The original code is taken from mpv, under the same license. + */ + + +#include <stdint.h> +#include <stdbool.h> +#include <stdlib.h> +#include <inttypes.h> +#include <string.h> +#include <assert.h> +#include <math.h> + +#include "common.h" + +#include <libplacebo/dither.h> + +void pl_generate_bayer_matrix(float *data, int size) +{ + pl_assert(size >= 0); + + // Start with a single entry of 0 + data[0] = 0; + + for (int sz = 1; sz < size; sz *= 2) { + // Make three copies of the current, appropriately shifted and scaled + for (int y = 0; y < sz; y ++) { + for (int x = 0; x < sz; x++) { + int offsets[] = {0, sz * size + sz, sz, sz * size}; + int pos = y * size + x; + + for (int i = 1; i < 4; i++) + data[pos + offsets[i]] = data[pos] + i / (4.0 * sz * sz); + } + } + } +} + +#define MAX_SIZEB 8 +#define MAX_SIZE (1 << MAX_SIZEB) +#define MAX_SIZE2 (MAX_SIZE * MAX_SIZE) + +typedef uint_fast32_t index_t; + +#define WRAP_SIZE2(k, x) ((index_t)((index_t)(x) & ((k)->size2 - 1))) +#define XY(k, x, y) ((index_t)(((x) | ((y) << (k)->sizeb)))) + +struct ctx { + unsigned int sizeb, size, size2; + unsigned int gauss_radius; + unsigned int gauss_middle; + uint64_t gauss[MAX_SIZE2]; + index_t randomat[MAX_SIZE2]; + bool calcmat[MAX_SIZE2]; + uint64_t gaussmat[MAX_SIZE2]; + index_t unimat[MAX_SIZE2]; +}; + +static void makegauss(struct ctx *k, unsigned int sizeb) +{ + pl_assert(sizeb >= 1 && sizeb <= MAX_SIZEB); + + k->sizeb = sizeb; + k->size = 1 << k->sizeb; + k->size2 = k->size * k->size; + + k->gauss_radius = k->size / 2 - 1; + k->gauss_middle = XY(k, k->gauss_radius, k->gauss_radius); + + unsigned int gauss_size = k->gauss_radius * 2 + 1; + unsigned int gauss_size2 = gauss_size * gauss_size; + + for (index_t c = 0; c < k->size2; c++) + k->gauss[c] = 0; + + double sigma = -log(1.5 / (double) UINT64_MAX * gauss_size2) / k->gauss_radius; + + for (index_t gy = 0; gy <= k->gauss_radius; gy++) { + for (index_t gx = 0; gx <= gy; gx++) { + int cx = (int)gx - k->gauss_radius; + int cy = (int)gy - k->gauss_radius; + int sq = cx * cx + cy * cy; + double e = exp(-sqrt(sq) * sigma); + uint64_t v = e / gauss_size2 * (double) UINT64_MAX; + k->gauss[XY(k, gx, gy)] = + k->gauss[XY(k, gy, gx)] = + k->gauss[XY(k, gx, gauss_size - 1 - gy)] = + k->gauss[XY(k, gy, gauss_size - 1 - gx)] = + k->gauss[XY(k, gauss_size - 1 - gx, gy)] = + k->gauss[XY(k, gauss_size - 1 - gy, gx)] = + k->gauss[XY(k, gauss_size - 1 - gx, gauss_size - 1 - gy)] = + k->gauss[XY(k, gauss_size - 1 - gy, gauss_size - 1 - gx)] = v; + } + } + +#ifndef NDEBUG + uint64_t total = 0; + for (index_t c = 0; c < k->size2; c++) { + uint64_t oldtotal = total; + total += k->gauss[c]; + assert(total >= oldtotal); + } +#endif +} + +static void setbit(struct ctx *k, index_t c) +{ + if (k->calcmat[c]) + return; + k->calcmat[c] = true; + uint64_t *m = k->gaussmat; + uint64_t *me = k->gaussmat + k->size2; + uint64_t *g = k->gauss + WRAP_SIZE2(k, k->gauss_middle + k->size2 - c); + uint64_t *ge = k->gauss + k->size2; + while (g < ge) + *m++ += *g++; + g = k->gauss; + while (m < me) + *m++ += *g++; +} + +static index_t getmin(struct ctx *k) +{ + uint64_t min = UINT64_MAX; + index_t resnum = 0; + unsigned int size2 = k->size2; + for (index_t c = 0; c < size2; c++) { + if (k->calcmat[c]) + continue; + uint64_t total = k->gaussmat[c]; + if (total <= min) { + if (total != min) { + min = total; + resnum = 0; + } + k->randomat[resnum++] = c; + } + } + assert(resnum > 0); + if (resnum == 1) + return k->randomat[0]; + if (resnum == size2) + return size2 / 2; + return k->randomat[rand() % resnum]; +} + +static void makeuniform(struct ctx *k) +{ + unsigned int size2 = k->size2; + for (index_t c = 0; c < size2; c++) { + index_t r = getmin(k); + setbit(k, r); + k->unimat[r] = c; + } +} + +void pl_generate_blue_noise(float *data, int size) +{ + pl_assert(size > 0); + int shift = PL_LOG2(size); + + pl_assert((1 << shift) == size); + struct ctx *k = pl_zalloc_ptr(NULL, k); + makegauss(k, shift); + makeuniform(k); + float invscale = k->size2; + for(index_t y = 0; y < k->size; y++) { + for(index_t x = 0; x < k->size; x++) + data[x + y * k->size] = k->unimat[XY(k, x, y)] / invscale; + } + pl_free(k); +} + +const struct pl_error_diffusion_kernel pl_error_diffusion_simple = { + .name = "simple", + .description = "Simple error diffusion", + .shift = 1, + .pattern = {{0, 0, 0, 1, 0}, + {0, 0, 1, 0, 0}, + {0, 0, 0, 0, 0}}, + .divisor = 2, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_false_fs = { + .name = "false-fs", + .description = "False Floyd-Steinberg kernel", + .shift = 1, + .pattern = {{0, 0, 0, 3, 0}, + {0, 0, 3, 2, 0}, + {0, 0, 0, 0, 0}}, + .divisor = 8, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_sierra_lite = { + .name = "sierra-lite", + .description = "Sierra Lite kernel", + .shift = 2, + .pattern = {{0, 0, 0, 2, 0}, + {0, 1, 1, 0, 0}, + {0, 0, 0, 0, 0}}, + .divisor = 4, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_floyd_steinberg = { + .name = "floyd-steinberg", + .description = "Floyd Steinberg kernel", + .shift = 2, + .pattern = {{0, 0, 0, 7, 0}, + {0, 3, 5, 1, 0}, + {0, 0, 0, 0, 0}}, + .divisor = 16, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_atkinson = { + .name = "atkinson", + .description = "Atkinson kernel", + .shift = 2, + .pattern = {{0, 0, 0, 1, 1}, + {0, 1, 1, 1, 0}, + {0, 0, 1, 0, 0}}, + .divisor = 8, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_jarvis_judice_ninke = { + .name = "jarvis-judice-ninke", + .description = "Jarvis, Judice & Ninke kernel", + .shift = 3, + .pattern = {{0, 0, 0, 7, 5}, + {3, 5, 7, 5, 3}, + {1, 3, 5, 3, 1}}, + .divisor = 48, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_stucki = { + .name = "stucki", + .description = "Stucki kernel", + .shift = 3, + .pattern = {{0, 0, 0, 8, 4}, + {2, 4, 8, 4, 2}, + {1, 2, 4, 2, 1}}, + .divisor = 42, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_burkes = { + .name = "burkes", + .description = "Burkes kernel", + .shift = 3, + .pattern = {{0, 0, 0, 8, 4}, + {2, 4, 8, 4, 2}, + {0, 0, 0, 0, 0}}, + .divisor = 32, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_sierra2 = { + .name = "sierra-2", + .description = "Two-row Sierra", + .shift = 3, + .pattern = {{0, 0, 0, 4, 3}, + {1, 2, 3, 2, 1}, + {0, 0, 0, 0, 0}}, + .divisor = 16, +}; + +const struct pl_error_diffusion_kernel pl_error_diffusion_sierra3 = { + .name = "sierra-3", + .description = "Three-row Sierra", + .shift = 3, + .pattern = {{0, 0, 0, 5, 3}, + {2, 4, 5, 4, 2}, + {0, 2, 3, 2, 0}}, + .divisor = 32, +}; + +const struct pl_error_diffusion_kernel * const pl_error_diffusion_kernels[] = { + &pl_error_diffusion_simple, + &pl_error_diffusion_false_fs, + &pl_error_diffusion_sierra_lite, + &pl_error_diffusion_floyd_steinberg, + &pl_error_diffusion_atkinson, + &pl_error_diffusion_jarvis_judice_ninke, + &pl_error_diffusion_stucki, + &pl_error_diffusion_burkes, + &pl_error_diffusion_sierra2, + &pl_error_diffusion_sierra3, + NULL +}; + +const int pl_num_error_diffusion_kernels = PL_ARRAY_SIZE(pl_error_diffusion_kernels) - 1; + +// Find the error diffusion kernel with the given name, or NULL on failure. +const struct pl_error_diffusion_kernel *pl_find_error_diffusion_kernel(const char *name) +{ + for (int i = 0; i < pl_num_error_diffusion_kernels; i++) { + if (strcmp(name, pl_error_diffusion_kernels[i]->name) == 0) + return pl_error_diffusion_kernels[i]; + } + + return NULL; +} |