/* * Copyright (c) 2007 Michael Niedermayer * Copyright (c) 2013 Clément Bœsch * * This file is part of FFmpeg. * * FFmpeg is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * FFmpeg 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 General Public License for more details. * * You should have received a copy of the GNU General Public License along * with FFmpeg; if not, write to the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. */ /** * @todo try to change to int * @todo try lifting based implementation * @todo optimize optimize optimize * @todo hard thresholding * @todo use QP to decide filter strength * @todo wavelet normalization / least squares optimal signal vs. noise thresholds */ #include "libavutil/imgutils.h" #include "libavutil/opt.h" #include "libavutil/pixdesc.h" #include "avfilter.h" #include "internal.h" typedef struct OWDenoiseContext { const AVClass *class; double luma_strength; double chroma_strength; int depth; float *plane[16+1][4]; int linesize; int hsub, vsub; int pixel_depth; } OWDenoiseContext; #define OFFSET(x) offsetof(OWDenoiseContext, x) #define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM static const AVOption owdenoise_options[] = { { "depth", "set depth", OFFSET(depth), AV_OPT_TYPE_INT, {.i64 = 8}, 8, 16, FLAGS }, { "luma_strength", "set luma strength", OFFSET(luma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS }, { "ls", "set luma strength", OFFSET(luma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS }, { "chroma_strength", "set chroma strength", OFFSET(chroma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS }, { "cs", "set chroma strength", OFFSET(chroma_strength), AV_OPT_TYPE_DOUBLE, {.dbl = 1.0}, 0, 1000, FLAGS }, { NULL } }; AVFILTER_DEFINE_CLASS(owdenoise); DECLARE_ALIGNED(8, static const uint8_t, dither)[8][8] = { { 0, 48, 12, 60, 3, 51, 15, 63 }, { 32, 16, 44, 28, 35, 19, 47, 31 }, { 8, 56, 4, 52, 11, 59, 7, 55 }, { 40, 24, 36, 20, 43, 27, 39, 23 }, { 2, 50, 14, 62, 1, 49, 13, 61 }, { 34, 18, 46, 30, 33, 17, 45, 29 }, { 10, 58, 6, 54, 9, 57, 5, 53 }, { 42, 26, 38, 22, 41, 25, 37, 21 }, }; static const double coeff[2][5] = { { 0.6029490182363579 * M_SQRT2, 0.2668641184428723 * M_SQRT2, -0.07822326652898785 * M_SQRT2, -0.01686411844287495 * M_SQRT2, 0.02674875741080976 * M_SQRT2, },{ 1.115087052456994 / M_SQRT2, -0.5912717631142470 / M_SQRT2, -0.05754352622849957 / M_SQRT2, 0.09127176311424948 / M_SQRT2, } }; static const double icoeff[2][5] = { { 1.115087052456994 / M_SQRT2, 0.5912717631142470 / M_SQRT2, -0.05754352622849957 / M_SQRT2, -0.09127176311424948 / M_SQRT2, },{ 0.6029490182363579 * M_SQRT2, -0.2668641184428723 * M_SQRT2, -0.07822326652898785 * M_SQRT2, 0.01686411844287495 * M_SQRT2, 0.02674875741080976 * M_SQRT2, } }; static inline void decompose(float *dst_l, float *dst_h, const float *src, int linesize, int w) { int x, i; for (x = 0; x < w; x++) { double sum_l = src[x * linesize] * coeff[0][0]; double sum_h = src[x * linesize] * coeff[1][0]; for (i = 1; i <= 4; i++) { const double s = src[avpriv_mirror(x - i, w - 1) * linesize] + src[avpriv_mirror(x + i, w - 1) * linesize]; sum_l += coeff[0][i] * s; sum_h += coeff[1][i] * s; } dst_l[x * linesize] = sum_l; dst_h[x * linesize] = sum_h; } } static inline void compose(float *dst, const float *src_l, const float *src_h, int linesize, int w) { int x, i; for (x = 0; x < w; x++) { double sum_l = src_l[x * linesize] * icoeff[0][0]; double sum_h = src_h[x * linesize] * icoeff[1][0]; for (i = 1; i <= 4; i++) { const int x0 = avpriv_mirror(x - i, w - 1) * linesize; const int x1 = avpriv_mirror(x + i, w - 1) * linesize; sum_l += icoeff[0][i] * (src_l[x0] + src_l[x1]); sum_h += icoeff[1][i] * (src_h[x0] + src_h[x1]); } dst[x * linesize] = (sum_l + sum_h) * 0.5; } } static inline void decompose2D(float *dst_l, float *dst_h, const float *src, int xlinesize, int ylinesize, int step, int w, int h) { int y, x; for (y = 0; y < h; y++) for (x = 0; x < step; x++) decompose(dst_l + ylinesize*y + xlinesize*x, dst_h + ylinesize*y + xlinesize*x, src + ylinesize*y + xlinesize*x, step * xlinesize, (w - x + step - 1) / step); } static inline void compose2D(float *dst, const float *src_l, const float *src_h, int xlinesize, int ylinesize, int step, int w, int h) { int y, x; for (y = 0; y < h; y++) for (x = 0; x < step; x++) compose(dst + ylinesize*y + xlinesize*x, src_l + ylinesize*y + xlinesize*x, src_h + ylinesize*y + xlinesize*x, step * xlinesize, (w - x + step - 1) / step); } static void decompose2D2(float *dst[4], float *src, float *temp[2], int linesize, int step, int w, int h) { decompose2D(temp[0], temp[1], src, 1, linesize, step, w, h); decompose2D( dst[0], dst[1], temp[0], linesize, 1, step, h, w); decompose2D( dst[2], dst[3], temp[1], linesize, 1, step, h, w); } static void compose2D2(float *dst, float *src[4], float *temp[2], int linesize, int step, int w, int h) { compose2D(temp[0], src[0], src[1], linesize, 1, step, h, w); compose2D(temp[1], src[2], src[3], linesize, 1, step, h, w); compose2D(dst, temp[0], temp[1], 1, linesize, step, w, h); } static void filter(OWDenoiseContext *s, uint8_t *dst, int dst_linesize, const uint8_t *src, int src_linesize, int width, int height, double strength) { int x, y, i, j, depth = s->depth; while (1< width || 1< height) depth--; if (s->pixel_depth <= 8) { for (y = 0; y < height; y++) for(x = 0; x < width; x++) s->plane[0][0][y*s->linesize + x] = src[y*src_linesize + x]; } else { const uint16_t *src16 = (const uint16_t *)src; src_linesize /= 2; for (y = 0; y < height; y++) for(x = 0; x < width; x++) s->plane[0][0][y*s->linesize + x] = src16[y*src_linesize + x]; } for (i = 0; i < depth; i++) decompose2D2(s->plane[i + 1], s->plane[i][0], s->plane[0] + 1, s->linesize, 1<plane[i + 1][j][y*s->linesize + x]; if (v > strength) v -= strength; else if (v < -strength) v += strength; else v = 0; s->plane[i + 1][j][x + y*s->linesize] = v; } } } } for (i = depth-1; i >= 0; i--) compose2D2(s->plane[i][0], s->plane[i + 1], s->plane[0] + 1, s->linesize, 1<pixel_depth <= 8) { for (y = 0; y < height; y++) { for (x = 0; x < width; x++) { 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 :) if ((unsigned)i > 255U) i = ~(i >> 31); dst[y*dst_linesize + x] = i; } } } else { uint16_t *dst16 = (uint16_t *)dst; dst_linesize /= 2; for (y = 0; y < height; y++) { for (x = 0; x < width; x++) { i = s->plane[0][0][y*s->linesize + x]; dst16[y*dst_linesize + x] = i; } } } } static int filter_frame(AVFilterLink *inlink, AVFrame *in) { AVFilterContext *ctx = inlink->dst; OWDenoiseContext *s = ctx->priv; AVFilterLink *outlink = ctx->outputs[0]; AVFrame *out; const int cw = AV_CEIL_RSHIFT(inlink->w, s->hsub); const int ch = AV_CEIL_RSHIFT(inlink->h, s->vsub); if (av_frame_is_writable(in)) { out = in; if (s->luma_strength > 0) filter(s, out->data[0], out->linesize[0], in->data[0], in->linesize[0], inlink->w, inlink->h, s->luma_strength); if (s->chroma_strength > 0) { filter(s, out->data[1], out->linesize[1], in->data[1], in->linesize[1], cw, ch, s->chroma_strength); filter(s, out->data[2], out->linesize[2], in->data[2], in->linesize[2], cw, ch, s->chroma_strength); } } else { out = ff_get_video_buffer(outlink, outlink->w, outlink->h); if (!out) { av_frame_free(&in); return AVERROR(ENOMEM); } av_frame_copy_props(out, in); if (s->luma_strength > 0) { filter(s, out->data[0], out->linesize[0], in->data[0], in->linesize[0], inlink->w, inlink->h, s->luma_strength); } else { av_image_copy_plane(out->data[0], out->linesize[0], in ->data[0], in ->linesize[0], inlink->w, inlink->h); } if (s->chroma_strength > 0) { filter(s, out->data[1], out->linesize[1], in->data[1], in->linesize[1], cw, ch, s->chroma_strength); filter(s, out->data[2], out->linesize[2], in->data[2], in->linesize[2], cw, ch, s->chroma_strength); } else { av_image_copy_plane(out->data[1], out->linesize[1], in ->data[1], in ->linesize[1], inlink->w, inlink->h); av_image_copy_plane(out->data[2], out->linesize[2], in ->data[2], in ->linesize[2], inlink->w, inlink->h); } if (in->data[3]) av_image_copy_plane(out->data[3], out->linesize[3], in ->data[3], in ->linesize[3], inlink->w, inlink->h); av_frame_free(&in); } return ff_filter_frame(outlink, out); } static int query_formats(AVFilterContext *ctx) { static const enum AVPixelFormat pix_fmts[] = { AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV440P, AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9, AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10, AV_PIX_FMT_YUV440P10, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV440P12, AV_PIX_FMT_YUV444P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16, AV_PIX_FMT_NONE }; AVFilterFormats *fmts_list = ff_make_format_list(pix_fmts); if (!fmts_list) return AVERROR(ENOMEM); return ff_set_common_formats(ctx, fmts_list); } static int config_input(AVFilterLink *inlink) { int i, j; OWDenoiseContext *s = inlink->dst->priv; const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format); const int h = FFALIGN(inlink->h, 16); s->hsub = desc->log2_chroma_w; s->vsub = desc->log2_chroma_h; s->pixel_depth = desc->comp[0].depth; s->linesize = FFALIGN(inlink->w, 16); for (j = 0; j < 4; j++) { for (i = 0; i <= s->depth; i++) { s->plane[i][j] = av_malloc_array(s->linesize, h * sizeof(s->plane[0][0][0])); if (!s->plane[i][j]) return AVERROR(ENOMEM); } } return 0; } static av_cold void uninit(AVFilterContext *ctx) { int i, j; OWDenoiseContext *s = ctx->priv; for (j = 0; j < 4; j++) for (i = 0; i <= s->depth; i++) av_freep(&s->plane[i][j]); } static const AVFilterPad owdenoise_inputs[] = { { .name = "default", .type = AVMEDIA_TYPE_VIDEO, .filter_frame = filter_frame, .config_props = config_input, }, { NULL } }; static const AVFilterPad owdenoise_outputs[] = { { .name = "default", .type = AVMEDIA_TYPE_VIDEO, }, { NULL } }; AVFilter ff_vf_owdenoise = { .name = "owdenoise", .description = NULL_IF_CONFIG_SMALL("Denoise using wavelets."), .priv_size = sizeof(OWDenoiseContext), .uninit = uninit, .query_formats = query_formats, .inputs = owdenoise_inputs, .outputs = owdenoise_outputs, .priv_class = &owdenoise_class, .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC, };