mirror of
https://github.com/xenia-project/FFmpeg.git
synced 2024-11-24 12:09:55 +00:00
336 lines
11 KiB
C
336 lines
11 KiB
C
/*
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* Copyright (c) 2007 Michael Niedermayer <michaelni@gmx.at>
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* Copyright (c) 2013 Clément Bœsch <u pkh me>
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg 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 2 of the License, or
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* (at your option) any later version.
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*
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* FFmpeg 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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*
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* You should have received a copy of the GNU General Public License along
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* with FFmpeg; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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/**
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* @todo try to change to int
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* @todo try lifting based implementation
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* @todo optimize optimize optimize
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* @todo hard thresholding
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* @todo use QP to decide filter strength
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* @todo wavelet normalization / least squares optimal signal vs. noise thresholds
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*/
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#include "libavutil/imgutils.h"
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#include "libavutil/opt.h"
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#include "libavutil/pixdesc.h"
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#include "avfilter.h"
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#include "internal.h"
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typedef struct {
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const AVClass *class;
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double luma_strength;
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double chroma_strength;
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int depth;
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float *plane[16+1][4];
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int linesize;
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int hsub, vsub;
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} OWDenoiseContext;
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#define OFFSET(x) offsetof(OWDenoiseContext, x)
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#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
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static const AVOption owdenoise_options[] = {
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{ "depth", "set depth", OFFSET(depth), AV_OPT_TYPE_INT, {.i64 = 8}, 8, 16, FLAGS },
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{ "luma_strength", "set luma strength", OFFSET(luma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS },
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{ "ls", "set luma strength", OFFSET(luma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS },
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{ "chroma_strength", "set chroma strength", OFFSET(chroma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS },
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{ "cs", "set chroma strength", OFFSET(chroma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS },
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(owdenoise);
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DECLARE_ALIGNED(8, static const uint8_t, dither)[8][8] = {
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{ 0, 48, 12, 60, 3, 51, 15, 63 },
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{ 32, 16, 44, 28, 35, 19, 47, 31 },
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{ 8, 56, 4, 52, 11, 59, 7, 55 },
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{ 40, 24, 36, 20, 43, 27, 39, 23 },
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{ 2, 50, 14, 62, 1, 49, 13, 61 },
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{ 34, 18, 46, 30, 33, 17, 45, 29 },
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{ 10, 58, 6, 54, 9, 57, 5, 53 },
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{ 42, 26, 38, 22, 41, 25, 37, 21 },
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};
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static const double coeff[2][5] = {
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{
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0.6029490182363579 * M_SQRT2,
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0.2668641184428723 * M_SQRT2,
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-0.07822326652898785 * M_SQRT2,
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-0.01686411844287495 * M_SQRT2,
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0.02674875741080976 * M_SQRT2,
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},{
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1.115087052456994 / M_SQRT2,
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-0.5912717631142470 / M_SQRT2,
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-0.05754352622849957 / M_SQRT2,
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0.09127176311424948 / M_SQRT2,
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}
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};
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static const double icoeff[2][5] = {
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{
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1.115087052456994 / M_SQRT2,
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0.5912717631142470 / M_SQRT2,
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-0.05754352622849957 / M_SQRT2,
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-0.09127176311424948 / M_SQRT2,
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},{
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0.6029490182363579 * M_SQRT2,
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-0.2668641184428723 * M_SQRT2,
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-0.07822326652898785 * M_SQRT2,
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0.01686411844287495 * M_SQRT2,
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0.02674875741080976 * M_SQRT2,
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}
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};
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static inline void decompose(float *dst_l, float *dst_h, const float *src,
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int linesize, int w)
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{
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int x, i;
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for (x = 0; x < w; x++) {
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double sum_l = src[x * linesize] * coeff[0][0];
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double sum_h = src[x * linesize] * coeff[1][0];
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for (i = 1; i <= 4; i++) {
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const double s = src[avpriv_mirror(x - i, w - 1) * linesize]
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+ src[avpriv_mirror(x + i, w - 1) * linesize];
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sum_l += coeff[0][i] * s;
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sum_h += coeff[1][i] * s;
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}
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dst_l[x * linesize] = sum_l;
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dst_h[x * linesize] = sum_h;
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}
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}
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static inline void compose(float *dst, const float *src_l, const float *src_h,
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int linesize, int w)
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{
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int x, i;
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for (x = 0; x < w; x++) {
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double sum_l = src_l[x * linesize] * icoeff[0][0];
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double sum_h = src_h[x * linesize] * icoeff[1][0];
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for (i = 1; i <= 4; i++) {
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const int x0 = avpriv_mirror(x - i, w - 1) * linesize;
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const int x1 = avpriv_mirror(x + i, w - 1) * linesize;
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sum_l += icoeff[0][i] * (src_l[x0] + src_l[x1]);
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sum_h += icoeff[1][i] * (src_h[x0] + src_h[x1]);
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}
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dst[x * linesize] = (sum_l + sum_h) * 0.5;
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}
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}
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static inline void decompose2D(float *dst_l, float *dst_h, const float *src,
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int xlinesize, int ylinesize,
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int step, int w, int h)
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{
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int y, x;
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for (y = 0; y < h; y++)
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for (x = 0; x < step; x++)
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decompose(dst_l + ylinesize*y + xlinesize*x,
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dst_h + ylinesize*y + xlinesize*x,
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src + ylinesize*y + xlinesize*x,
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step * xlinesize, (w - x + step - 1) / step);
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}
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static inline void compose2D(float *dst, const float *src_l, const float *src_h,
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int xlinesize, int ylinesize,
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int step, int w, int h)
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{
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int y, x;
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for (y = 0; y < h; y++)
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for (x = 0; x < step; x++)
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compose(dst + ylinesize*y + xlinesize*x,
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src_l + ylinesize*y + xlinesize*x,
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src_h + ylinesize*y + xlinesize*x,
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step * xlinesize, (w - x + step - 1) / step);
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}
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static void decompose2D2(float *dst[4], float *src, float *temp[2],
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int linesize, int step, int w, int h)
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{
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decompose2D(temp[0], temp[1], src, 1, linesize, step, w, h);
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decompose2D( dst[0], dst[1], temp[0], linesize, 1, step, h, w);
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decompose2D( dst[2], dst[3], temp[1], linesize, 1, step, h, w);
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}
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static void compose2D2(float *dst, float *src[4], float *temp[2],
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int linesize, int step, int w, int h)
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{
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compose2D(temp[0], src[0], src[1], linesize, 1, step, h, w);
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compose2D(temp[1], src[2], src[3], linesize, 1, step, h, w);
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compose2D(dst, temp[0], temp[1], 1, linesize, step, w, h);
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}
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static void filter(OWDenoiseContext *s,
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uint8_t *dst, int dst_linesize,
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const uint8_t *src, int src_linesize,
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int width, int height, double strength)
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{
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int x, y, i, j, depth = s->depth;
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while (1<<depth > width || 1<<depth > height)
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depth--;
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for (y = 0; y < height; y++)
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for(x = 0; x < width; x++)
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s->plane[0][0][y*s->linesize + x] = src[y*src_linesize + x];
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for (i = 0; i < depth; i++)
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decompose2D2(s->plane[i + 1], s->plane[i][0], s->plane[0] + 1, s->linesize, 1<<i, width, height);
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for (i = 0; i < depth; i++) {
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for (j = 1; j < 4; j++) {
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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double v = s->plane[i + 1][j][y*s->linesize + x];
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if (v > strength) v -= strength;
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else if (v < -strength) v += strength;
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else v = 0;
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s->plane[i + 1][j][x + y*s->linesize] = v;
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}
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}
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}
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}
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for (i = depth-1; i >= 0; i--)
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compose2D2(s->plane[i][0], s->plane[i + 1], s->plane[0] + 1, s->linesize, 1<<i, width, height);
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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i = s->plane[0][0][y*s->linesize + x] + dither[x&7][y&7]*(1.0/64) + 1.0/128; // yes the rounding is insane but optimal :)
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if ((unsigned)i > 255U) i = ~(i >> 31);
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dst[y*dst_linesize + x] = i;
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}
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}
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}
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static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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{
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int direct = 0;
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AVFilterContext *ctx = inlink->dst;
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OWDenoiseContext *s = ctx->priv;
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AVFilterLink *outlink = ctx->outputs[0];
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AVFrame *out;
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const int cw = FF_CEIL_RSHIFT(inlink->w, s->hsub);
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const int ch = FF_CEIL_RSHIFT(inlink->h, s->vsub);
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if (av_frame_is_writable(in)) {
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direct = 1;
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out = in;
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} else {
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out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
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if (!out) {
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av_frame_free(&in);
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return AVERROR(ENOMEM);
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}
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av_frame_copy_props(out, in);
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}
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filter(s, out->data[0], out->linesize[0], in->data[0], in->linesize[0], inlink->w, inlink->h, s->luma_strength);
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filter(s, out->data[1], out->linesize[1], in->data[1], in->linesize[1], cw, ch, s->chroma_strength);
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filter(s, out->data[2], out->linesize[2], in->data[2], in->linesize[2], cw, ch, s->chroma_strength);
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if (!direct) {
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if (in->data[3])
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av_image_copy_plane(out->data[3], out->linesize[3],
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in ->data[3], in ->linesize[3],
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inlink->w, inlink->h);
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av_frame_free(&in);
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}
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return ff_filter_frame(outlink, out);
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}
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static int query_formats(AVFilterContext *ctx)
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{
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static const enum AVPixelFormat pix_fmts[] = {
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AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV422P,
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AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV411P,
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AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV440P,
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AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUVA422P,
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AV_PIX_FMT_YUVA420P,
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AV_PIX_FMT_NONE
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};
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AVFilterFormats *fmts_list = ff_make_format_list(pix_fmts);
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if (!fmts_list)
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return AVERROR(ENOMEM);
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return ff_set_common_formats(ctx, fmts_list);
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}
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static int config_input(AVFilterLink *inlink)
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{
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int i, j;
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OWDenoiseContext *s = inlink->dst->priv;
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const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
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const int h = FFALIGN(inlink->h, 16);
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s->hsub = desc->log2_chroma_w;
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s->vsub = desc->log2_chroma_h;
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s->linesize = FFALIGN(inlink->w, 16);
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for (j = 0; j < 4; j++) {
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for (i = 0; i <= s->depth; i++) {
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s->plane[i][j] = av_malloc_array(s->linesize, h * sizeof(s->plane[0][0][0]));
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if (!s->plane[i][j])
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return AVERROR(ENOMEM);
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}
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}
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return 0;
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}
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static av_cold void uninit(AVFilterContext *ctx)
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{
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int i, j;
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OWDenoiseContext *s = ctx->priv;
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for (j = 0; j < 4; j++)
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for (i = 0; i <= s->depth; i++)
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av_freep(&s->plane[i][j]);
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}
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static const AVFilterPad owdenoise_inputs[] = {
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{
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.name = "default",
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.type = AVMEDIA_TYPE_VIDEO,
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.filter_frame = filter_frame,
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.config_props = config_input,
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},
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{ NULL }
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};
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static const AVFilterPad owdenoise_outputs[] = {
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{
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.name = "default",
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.type = AVMEDIA_TYPE_VIDEO,
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},
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{ NULL }
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};
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AVFilter ff_vf_owdenoise = {
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.name = "owdenoise",
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.description = NULL_IF_CONFIG_SMALL("Denoise using wavelets."),
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.priv_size = sizeof(OWDenoiseContext),
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.uninit = uninit,
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.query_formats = query_formats,
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.inputs = owdenoise_inputs,
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.outputs = owdenoise_outputs,
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.priv_class = &owdenoise_class,
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.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC,
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};
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