mirror of https://github.com/mpv-player/mpv
318 lines
11 KiB
C
318 lines
11 KiB
C
/*
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* This file is part of mpv.
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*
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* mpv is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* mpv 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 Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with mpv. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <stdlib.h>
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#include "error_diffusion.h"
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#include "common/common.h"
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#define GLSL(...) gl_sc_addf(sc, __VA_ARGS__)
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#define GLSLH(...) gl_sc_haddf(sc, __VA_ARGS__)
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// After a (y, x) -> (y, x + y * shift) mapping, find the right most column that
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// will be affected by the current column.
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static int compute_rightmost_shifted_column(const struct error_diffusion_kernel *k)
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{
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int ret = 0;
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for (int y = 0; y <= EF_MAX_DELTA_Y; y++) {
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for (int x = EF_MIN_DELTA_X; x <= EF_MAX_DELTA_X; x++) {
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if (k->pattern[y][x - EF_MIN_DELTA_X] != 0) {
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int shifted_x = x + y * k->shift;
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// The shift mapping guarantees current column (or left of it)
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// won't be affected by error diffusion.
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assert(shifted_x > 0);
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ret = MPMAX(ret, shifted_x);
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}
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}
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}
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return ret;
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}
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const struct error_diffusion_kernel *mp_find_error_diffusion_kernel(const char *name)
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{
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if (!name)
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return NULL;
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for (const struct error_diffusion_kernel *k = mp_error_diffusion_kernels;
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k->name;
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k++) {
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if (strcmp(k->name, name) == 0)
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return k;
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}
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return NULL;
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}
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int mp_ef_compute_shared_memory_size(const struct error_diffusion_kernel *k,
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int height)
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{
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// We add EF_MAX_DELTA_Y empty lines on the bottom to handle errors
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// propagated out from bottom side.
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int rows = height + EF_MAX_DELTA_Y;
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int shifted_columns = compute_rightmost_shifted_column(k) + 1;
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// The shared memory is an array of size rows*shifted_columns. Each element
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// is a single uint for three RGB component.
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return rows * shifted_columns * 4;
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}
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void pass_error_diffusion(struct gl_shader_cache *sc,
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const struct error_diffusion_kernel *k,
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int tex, int width, int height, int depth, int block_size)
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{
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assert(block_size <= height);
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// The parallel error diffusion works by applying the shift mapping first.
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// Taking the Floyd and Steinberg algorithm for example. After applying
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// the (y, x) -> (y, x + y * shift) mapping (with shift=2), all errors are
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// propagated into the next few columns, which makes parallel processing on
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// the same column possible.
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//
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// X 7/16 X 7/16
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// 3/16 5/16 1/16 ==> 0 0 3/16 5/16 1/16
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// Figuring out the size of rectangle containing all shifted pixels.
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// The rectangle height is not changed.
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int shifted_width = width + (height - 1) * k->shift;
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// We process all pixels from the shifted rectangles column by column, with
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// a single global work group of size |block_size|.
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// Figuring out how many block are required to process all pixels. We need
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// this explicitly to make the number of barrier() calls match.
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int blocks = (height * shifted_width + block_size - 1) / block_size;
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// If we figure out how many of the next columns will be affected while the
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// current columns is being processed. We can store errors of only a few
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// columns in the shared memory. Using a ring buffer will further save the
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// cost while iterating to next column.
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int ring_buffer_rows = height + EF_MAX_DELTA_Y;
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int ring_buffer_columns = compute_rightmost_shifted_column(k) + 1;
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int ring_buffer_size = ring_buffer_rows * ring_buffer_columns;
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// Defines the ring buffer in shared memory.
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GLSLH("shared uint err_rgb8[%d];\n", ring_buffer_size);
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// Initialize the ring buffer.
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GLSL("for (int i = int(gl_LocalInvocationIndex); i < %d; i += %d) ",
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ring_buffer_size, block_size);
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GLSL("err_rgb8[i] = 0u;\n");
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GLSL("for (int block_id = 0; block_id < %d; ++block_id) {\n", blocks);
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// Add barrier here to have previous block all processed before starting
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// the processing of the next.
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GLSL("groupMemoryBarrier();\n");
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GLSL("barrier();\n");
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// Compute the coordinate of the pixel we are currently processing, both
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// before and after the shift mapping.
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GLSL("int id = int(gl_LocalInvocationIndex) + block_id * %d;\n", block_size);
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GLSL("int y = id %% %d, x_shifted = id / %d;\n", height, height);
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GLSL("int x = x_shifted - y * %d;\n", k->shift);
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// Proceed only if we are processing a valid pixel.
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GLSL("if (0 <= x && x < %d) {\n", width);
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// The index that the current pixel have on the ring buffer.
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GLSL("int idx = (x_shifted * %d + y) %% %d;\n", ring_buffer_rows, ring_buffer_size);
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// Fetch the current pixel.
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GLSL("vec3 pix = texelFetch(texture%d, ivec2(x, y), 0).rgb;\n", tex);
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// The dithering will quantize pixel value into multiples of 1/dither_quant.
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int dither_quant = (1 << depth) - 1;
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// We encode errors in RGB components into a single 32-bit unsigned integer.
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// The error we propagate from the current pixel is in range of
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// [-0.5 / dither_quant, 0.5 / dither_quant]. While not quite obvious, the
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// sum of all errors been propagated into a pixel is also in the same range.
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// It's possible to map errors in this range into [-127, 127], and use an
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// unsigned 8-bit integer to store it (using standard two's complement).
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// The three 8-bit unsigned integers can then be encoded into a single
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// 32-bit unsigned integer, with two 4-bit padding to prevent addition
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// operation overflows affecting other component. There are at most 12
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// addition operations on each pixel, so 4-bit padding should be enough.
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// The overflow from R component will be discarded.
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//
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// The following figure is how the encoding looks like.
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//
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// +------------------------------------+
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// |RRRRRRRR|0000|GGGGGGGG|0000|BBBBBBBB|
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// +------------------------------------+
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//
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// The bitshift position for R and G component.
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int bitshift_r = 24, bitshift_g = 12;
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// The multiplier we use to map [-0.5, 0.5] to [-127, 127].
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int uint8_mul = 127 * 2;
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// Adding the error previously propagated into current pixel, and clear it
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// in the buffer.
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GLSL("uint err_u32 = err_rgb8[idx] + %uu;\n",
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(128u << bitshift_r) | (128u << bitshift_g) | 128u);
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GLSL("pix = pix * %d.0 + vec3("
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"int((err_u32 >> %d) & 255u) - 128,"
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"int((err_u32 >> %d) & 255u) - 128,"
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"int( err_u32 & 255u) - 128"
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") / %d.0;\n", dither_quant, bitshift_r, bitshift_g, uint8_mul);
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GLSL("err_rgb8[idx] = 0u;\n");
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// Write the dithered pixel.
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GLSL("vec3 dithered = round(pix);\n");
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GLSL("imageStore(out_image, ivec2(x, y), vec4(dithered / %d.0, 0.0));\n",
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dither_quant);
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GLSL("vec3 err_divided = (pix - dithered) * %d.0 / %d.0;\n",
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uint8_mul, k->divisor);
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GLSL("ivec3 tmp;\n");
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// Group error propagation with same weight factor together, in order to
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// reduce the number of annoying error encoding.
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for (int dividend = 1; dividend <= k->divisor; dividend++) {
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bool err_assigned = false;
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for (int y = 0; y <= EF_MAX_DELTA_Y; y++) {
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for (int x = EF_MIN_DELTA_X; x <= EF_MAX_DELTA_X; x++) {
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if (k->pattern[y][x - EF_MIN_DELTA_X] != dividend)
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continue;
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if (!err_assigned) {
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err_assigned = true;
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GLSL("tmp = ivec3(round(err_divided * %d.0));\n", dividend);
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GLSL("err_u32 = "
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"(uint(tmp.r & 255) << %d)|"
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"(uint(tmp.g & 255) << %d)|"
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" uint(tmp.b & 255);\n",
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bitshift_r, bitshift_g);
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}
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int shifted_x = x + y * k->shift;
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// Unlike the right border, errors propagated out from left
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// border will remain in the ring buffer. This will produce
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// visible artifacts near the left border, especially for
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// shift=3 kernels.
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if (x < 0)
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GLSL("if (x >= %d) ", -x);
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// Calculate the new position in the ring buffer to propagate
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// the error into.
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int ring_buffer_delta = shifted_x * ring_buffer_rows + y;
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GLSL("atomicAdd(err_rgb8[(idx + %d) %% %d], err_u32);\n",
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ring_buffer_delta, ring_buffer_size);
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}
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}
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}
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GLSL("}\n"); // if (0 <= x && x < width)
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GLSL("}\n"); // block_id
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}
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// Different kernels for error diffusion.
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// Patterns are from <https://web.archive.org/web/20181031005427/
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// http://www.efg2.com/Lab/Library/ImageProcessing/DHALF.TXT>
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const struct error_diffusion_kernel mp_error_diffusion_kernels[] = {
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{
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.name = "simple",
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.shift = 1,
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.pattern = {{0, 0, 0, 1, 0},
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{0, 0, 1, 0, 0},
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{0, 0, 0, 0, 0}},
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.divisor = 2
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},
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{
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// The "false" Floyd-Steinberg kernel
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.name = "false-fs",
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.shift = 1,
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.pattern = {{0, 0, 0, 3, 0},
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{0, 0, 3, 2, 0},
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{0, 0, 0, 0, 0}},
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.divisor = 8
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},
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{
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.name = "sierra-lite",
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.shift = 2,
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.pattern = {{0, 0, 0, 2, 0},
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{0, 1, 1, 0, 0},
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{0, 0, 0, 0, 0}},
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.divisor = 4
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},
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{
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.name = "floyd-steinberg",
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.shift = 2,
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.pattern = {{0, 0, 0, 7, 0},
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{0, 3, 5, 1, 0},
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{0, 0, 0, 0, 0}},
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.divisor = 16
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},
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{
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.name = "atkinson",
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.shift = 2,
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.pattern = {{0, 0, 0, 1, 1},
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{0, 1, 1, 1, 0},
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{0, 0, 1, 0, 0}},
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.divisor = 8
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},
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// All kernels below have shift value of 3, and probably are too heavy for
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// low end GPU.
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{
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.name = "jarvis-judice-ninke",
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.shift = 3,
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.pattern = {{0, 0, 0, 7, 5},
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{3, 5, 7, 5, 3},
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{1, 3, 5, 3, 1}},
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.divisor = 48
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},
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{
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.name = "stucki",
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.shift = 3,
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.pattern = {{0, 0, 0, 8, 4},
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{2, 4, 8, 4, 2},
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{1, 2, 4, 2, 1}},
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.divisor = 42
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},
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{
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.name = "burkes",
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.shift = 3,
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.pattern = {{0, 0, 0, 8, 4},
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{2, 4, 8, 4, 2},
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{0, 0, 0, 0, 0}},
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.divisor = 32
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},
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{
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.name = "sierra-3",
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.shift = 3,
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.pattern = {{0, 0, 0, 5, 3},
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{2, 4, 5, 4, 2},
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{0, 2, 3, 2, 0}},
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.divisor = 32
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},
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{
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.name = "sierra-2",
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.shift = 3,
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.pattern = {{0, 0, 0, 4, 3},
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{1, 2, 3, 2, 1},
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{0, 0, 0, 0, 0}},
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.divisor = 16
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},
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{0}
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};
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