mirror of https://github.com/FFmpeg/FFmpeg.git
Paul B Mahol
8 years ago
parent
0c7979b43d
commit
0429ff4be6
7 changed files with 614 additions and 1 deletions
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/*
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* Copyright (c) 2003 LeFunGus, lefungus@altern.org |
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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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#include <float.h> |
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#include "libavutil/imgutils.h" |
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#include "libavutil/attributes.h" |
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#include "libavutil/common.h" |
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#include "libavutil/pixdesc.h" |
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#include "libavutil/intreadwrite.h" |
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#include "libavutil/opt.h" |
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#include "avfilter.h" |
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#include "formats.h" |
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#include "internal.h" |
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#include "video.h" |
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typedef struct VagueDenoiserContext { |
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const AVClass *class; |
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float threshold; |
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float percent; |
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int method; |
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int nsteps; |
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int planes; |
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int depth; |
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int peak; |
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int nb_planes; |
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int planeheight[4]; |
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int planewidth[4]; |
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float *block; |
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float *in; |
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float *out; |
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float *tmp; |
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int hlowsize[32]; |
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int hhighsize[32]; |
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int vlowsize[32]; |
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int vhighsize[32]; |
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} VagueDenoiserContext; |
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#define OFFSET(x) offsetof(VagueDenoiserContext, x) |
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#define FLAGS AV_OPT_FLAG_VIDEO_PARAM | AV_OPT_FLAG_FILTERING_PARAM |
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static const AVOption vaguedenoiser_options[] = { |
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{ "threshold", "set filtering strength", OFFSET(threshold), AV_OPT_TYPE_FLOAT, {.dbl=2.}, 0,DBL_MAX, FLAGS }, |
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{ "method", "set filtering method", OFFSET(method), AV_OPT_TYPE_INT, {.i64=2 }, 0, 2, FLAGS, "method" }, |
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{ "hard", "hard thresholding", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, "method" }, |
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{ "soft", "soft thresholding", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, "method" }, |
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{ "garrote", "garotte thresholding", 0, AV_OPT_TYPE_CONST, {.i64=2}, 0, 0, FLAGS, "method" }, |
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{ "nsteps", "set number of steps", OFFSET(nsteps), AV_OPT_TYPE_INT, {.i64=6 }, 1, 32, FLAGS }, |
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{ "percent", "set percent of full denoising", OFFSET(percent),AV_OPT_TYPE_FLOAT, {.dbl=85}, 0,100, FLAGS }, |
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{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15 }, 0, 15, FLAGS }, |
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{ NULL } |
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}; |
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AVFILTER_DEFINE_CLASS(vaguedenoiser); |
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#define NPAD 10 |
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static const float analysis_low[9] = { |
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0.037828455506995f, -0.023849465019380f, -0.110624404418423f, 0.377402855612654f, |
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0.852698679009403f, 0.377402855612654f, -0.110624404418423f, -0.023849465019380f, 0.037828455506995f |
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}; |
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static const float analysis_high[7] = { |
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-0.064538882628938f, 0.040689417609558f, 0.418092273222212f, -0.788485616405664f, |
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0.418092273222212f, 0.040689417609558f, -0.064538882628938f |
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}; |
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static const float synthesis_low[7] = { |
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-0.064538882628938f, -0.040689417609558f, 0.418092273222212f, 0.788485616405664f, |
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0.418092273222212f, -0.040689417609558f, -0.064538882628938f |
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}; |
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static const float synthesis_high[9] = { |
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-0.037828455506995f, -0.023849465019380f, 0.110624404418423f, 0.377402855612654f, |
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-0.852698679009403f, 0.377402855612654f, 0.110624404418423f, -0.023849465019380f, -0.037828455506995f |
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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_GRAY8, |
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AV_PIX_FMT_GRAY16, |
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AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P, |
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AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P, |
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AV_PIX_FMT_YUV440P, AV_PIX_FMT_YUV444P, |
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AV_PIX_FMT_YUVJ420P, AV_PIX_FMT_YUVJ422P, |
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AV_PIX_FMT_YUVJ440P, AV_PIX_FMT_YUVJ444P, |
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AV_PIX_FMT_YUVJ411P, |
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AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9, |
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AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10, |
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AV_PIX_FMT_YUV440P10, |
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AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV420P12, |
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AV_PIX_FMT_YUV440P12, |
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AV_PIX_FMT_YUV444P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV420P14, |
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AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16, |
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AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10, |
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AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16, |
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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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VagueDenoiserContext *s = inlink->dst->priv; |
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const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format); |
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int nsteps_width, nsteps_height, nsteps_max; |
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s->depth = desc->comp[0].depth; |
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s->nb_planes = desc->nb_components; |
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s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h); |
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s->planeheight[0] = s->planeheight[3] = inlink->h; |
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s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w); |
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s->planewidth[0] = s->planewidth[3] = inlink->w; |
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s->block = av_malloc_array(inlink->w * inlink->h, sizeof(*s->block)); |
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s->in = av_malloc_array(32 + FFMAX(inlink->w, inlink->h), sizeof(*s->in)); |
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s->out = av_malloc_array(32 + FFMAX(inlink->w, inlink->h), sizeof(*s->out)); |
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s->tmp = av_malloc_array(32 + FFMAX(inlink->w, inlink->h), sizeof(*s->tmp)); |
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if (!s->block || !s->in || !s->out || !s->tmp) |
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return AVERROR(ENOMEM); |
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s->threshold *= 1 << (s->depth - 8); |
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s->peak = (1 << s->depth) - 1; |
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nsteps_width = ((s->planes & 2 || s->planes & 4) && s->nb_planes > 1) ? s->planewidth[1] : s->planewidth[0]; |
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nsteps_height = ((s->planes & 2 || s->planes & 4) && s->nb_planes > 1) ? s->planeheight[1] : s->planeheight[0]; |
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for (nsteps_max = 1; nsteps_max < 15; nsteps_max++) { |
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if (pow(2, nsteps_max) >= nsteps_width || pow(2, nsteps_max) >= nsteps_height) |
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break; |
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} |
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s->nsteps = FFMIN(s->nsteps, nsteps_max - 2); |
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return 0; |
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} |
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static inline void copy(const float *p1, float *p2, const int length) |
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{ |
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memcpy(p2, p1, length * sizeof(float)); |
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} |
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static inline void copyv(const float *p1, const int stride1, float *p2, const int length) |
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{ |
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int i; |
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for (i = 0; i < length; i++) { |
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p2[i] = *p1; |
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p1 += stride1; |
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} |
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} |
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static inline void copyh(const float *p1, float *p2, const int stride2, const int length) |
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{ |
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int i; |
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for (i = 0; i < length; i++) { |
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*p2 = p1[i]; |
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p2 += stride2; |
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} |
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} |
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// Do symmetric extension of data using prescribed symmetries
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// Original values are in output[npad] through output[npad+size-1]
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// New values will be placed in output[0] through output[npad] and in output[npad+size] through output[2*npad+size-1] (note: end values may not be filled in)
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// extension at left bdry is ... 3 2 1 0 | 0 1 2 3 ...
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// same for right boundary
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// if right_ext=1 then ... 3 2 1 0 | 1 2 3
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static void symmetric_extension(float *output, const int size, const int left_ext, const int right_ext) |
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{ |
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int first = NPAD; |
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int last = NPAD - 1 + size; |
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const int originalLast = last; |
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int i, nextend, idx; |
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if (left_ext == 2) |
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output[--first] = output[NPAD]; |
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if (right_ext == 2) |
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output[++last] = output[originalLast]; |
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// extend left end
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nextend = first; |
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for (i = 0; i < nextend; i++) |
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output[--first] = output[NPAD + 1 + i]; |
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idx = NPAD + NPAD - 1 + size; |
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// extend right end
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nextend = idx - last; |
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for (i = 0; i < nextend; i++) |
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output[++last] = output[originalLast - 1 - i]; |
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} |
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static void transform_step(float *input, float *output, const int size, const int low_size, VagueDenoiserContext *s) |
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{ |
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int i; |
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symmetric_extension(input, size, 1, 1); |
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for (i = NPAD; i < NPAD + low_size; i++) { |
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const float a = input[2 * i - 14] * analysis_low[0]; |
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const float b = input[2 * i - 13] * analysis_low[1]; |
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const float c = input[2 * i - 12] * analysis_low[2]; |
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const float d = input[2 * i - 11] * analysis_low[3]; |
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const float e = input[2 * i - 10] * analysis_low[4]; |
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const float f = input[2 * i - 9] * analysis_low[3]; |
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const float g = input[2 * i - 8] * analysis_low[2]; |
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const float h = input[2 * i - 7] * analysis_low[1]; |
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const float k = input[2 * i - 6] * analysis_low[0]; |
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output[i] = a + b + c + d + e + f + g + h + k; |
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} |
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for (i = NPAD; i < NPAD + low_size; i++) { |
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const float a = input[2 * i - 12] * analysis_high[0]; |
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const float b = input[2 * i - 11] * analysis_high[1]; |
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const float c = input[2 * i - 10] * analysis_high[2]; |
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const float d = input[2 * i - 9] * analysis_high[3]; |
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const float e = input[2 * i - 8] * analysis_high[2]; |
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const float f = input[2 * i - 7] * analysis_high[1]; |
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const float g = input[2 * i - 6] * analysis_high[0]; |
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output[i + low_size] = a + b + c + d + e + f + g; |
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} |
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} |
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static void invert_step(const float *input, float *output, float *temp, const int size, VagueDenoiserContext *s) |
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{ |
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const int low_size = (size + 1) >> 1; |
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const int high_size = size >> 1; |
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int left_ext = 1, right_ext, i; |
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int findex; |
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memcpy(temp + NPAD, input + NPAD, low_size * sizeof(float)); |
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right_ext = (size % 2 == 0) ? 2 : 1; |
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symmetric_extension(temp, low_size, left_ext, right_ext); |
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memset(output, 0, (NPAD + NPAD + size) * sizeof(float)); |
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findex = (size + 2) >> 1; |
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for (i = 9; i < findex + 11; i++) { |
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const float a = temp[i] * synthesis_low[0]; |
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const float b = temp[i] * synthesis_low[1]; |
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const float c = temp[i] * synthesis_low[2]; |
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const float d = temp[i] * synthesis_low[3]; |
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output[2 * i - 13] += a; |
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output[2 * i - 12] += b; |
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output[2 * i - 11] += c; |
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output[2 * i - 10] += d; |
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output[2 * i - 9] += c; |
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output[2 * i - 8] += b; |
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output[2 * i - 7] += a; |
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} |
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memcpy(temp + NPAD, input + NPAD + low_size, high_size * sizeof(float)); |
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left_ext = 2; |
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right_ext = (size % 2 == 0) ? 1 : 2; |
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symmetric_extension(temp, high_size, left_ext, right_ext); |
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for (i = 8; i < findex + 11; i++) { |
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const float a = temp[i] * synthesis_high[0]; |
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const float b = temp[i] * synthesis_high[1]; |
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const float c = temp[i] * synthesis_high[2]; |
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const float d = temp[i] * synthesis_high[3]; |
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const float e = temp[i] * synthesis_high[4]; |
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output[2 * i - 13] += a; |
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output[2 * i - 12] += b; |
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output[2 * i - 11] += c; |
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output[2 * i - 10] += d; |
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output[2 * i - 9] += e; |
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output[2 * i - 8] += d; |
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output[2 * i - 7] += c; |
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output[2 * i - 6] += b; |
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output[2 * i - 5] += a; |
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} |
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} |
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static void hard_thresholding(float *block, const int width, const int height, |
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const int stride, const float threshold, |
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const float percent) |
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{ |
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const float frac = 1.f - percent * 0.01f; |
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int y, x; |
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for (y = 0; y < height; y++) { |
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for (x = 0; x < width; x++) { |
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if (FFABS(block[x]) <= threshold) |
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block[x] *= frac; |
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} |
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block += stride; |
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} |
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} |
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static void soft_thresholding(float *block, const int width, const int height, const int stride, |
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const float threshold, const float percent, const int nsteps) |
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{ |
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const float frac = 1.f - percent * 0.01f; |
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const float shift = threshold * 0.01f * percent; |
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int w = width; |
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int h = height; |
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int y, x, l; |
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for (l = 0; l < nsteps; l++) { |
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w = (w + 1) >> 1; |
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h = (h + 1) >> 1; |
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} |
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for (y = 0; y < height; y++) { |
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const int x0 = (y < h) ? w : 0; |
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for (x = x0; x < width; x++) { |
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const float temp = FFABS(block[x]); |
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if (temp <= threshold) |
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block[x] *= frac; |
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else |
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block[x] = (block[x] < 0.f ? -1.f : (block[x] > 0.f ? 1.f : 0.f)) * (temp - shift); |
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} |
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block += stride; |
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} |
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} |
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static void qian_thresholding(float *block, const int width, const int height, |
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const int stride, const float threshold, |
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const float percent) |
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{ |
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const float percent01 = percent * 0.01f; |
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const float tr2 = threshold * threshold * percent01; |
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const float frac = 1.f - percent01; |
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int y, x; |
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for (y = 0; y < height; y++) { |
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for (x = 0; x < width; x++) { |
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const float temp = FFABS(block[x]); |
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if (temp <= threshold) { |
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block[x] *= frac; |
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} else { |
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const float tp2 = temp * temp; |
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block[x] *= (tp2 - tr2) / tp2; |
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} |
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} |
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block += stride; |
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} |
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} |
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static void filter(VagueDenoiserContext *s, AVFrame *in, AVFrame *out) |
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{ |
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int p, y, x, i, j; |
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for (p = 0; p < s->nb_planes; p++) { |
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const int height = s->planeheight[p]; |
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const int width = s->planewidth[p]; |
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const uint8_t *srcp8 = in->data[p]; |
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const uint16_t *srcp16 = (const uint16_t *)in->data[p]; |
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uint8_t *dstp8 = out->data[p]; |
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uint16_t *dstp16 = (uint16_t *)out->data[p]; |
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float *output = s->block; |
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int h_low_size0 = width; |
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int v_low_size0 = height; |
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int nsteps_transform = s->nsteps; |
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int nsteps_invert = s->nsteps; |
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const float *input = s->block; |
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if (!((1 << p) & s->planes)) { |
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av_image_copy_plane(out->data[p], out->linesize[p], in->data[p], in->linesize[p], |
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s->planewidth[p], s->planeheight[p]); |
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continue; |
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} |
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if (s->depth <= 8) { |
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for (y = 0; y < height; y++) { |
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for (x = 0; x < width; x++) |
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output[x] = srcp8[x]; |
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srcp8 += in->linesize[p]; |
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output += width; |
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} |
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} else { |
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for (y = 0; y < height; y++) { |
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for (x = 0; x < width; x++) |
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output[x] = srcp16[x]; |
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srcp16 += in->linesize[p] / 2; |
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output += width; |
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} |
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} |
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while (nsteps_transform--) { |
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int low_size = (h_low_size0 + 1) >> 1; |
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float *input = s->block; |
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for (j = 0; j < v_low_size0; j++) { |
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copy(input, s->in + NPAD, h_low_size0); |
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transform_step(s->in, s->out, h_low_size0, low_size, s); |
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copy(s->out + NPAD, input, h_low_size0); |
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input += width; |
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} |
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low_size = (v_low_size0 + 1) >> 1; |
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input = s->block; |
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for (j = 0; j < h_low_size0; j++) { |
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copyv(input, width, s->in + NPAD, v_low_size0); |
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transform_step(s->in, s->out, v_low_size0, low_size, s); |
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copyh(s->out + NPAD, input, width, v_low_size0); |
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input++; |
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} |
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h_low_size0 = (h_low_size0 + 1) >> 1; |
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v_low_size0 = (v_low_size0 + 1) >> 1; |
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} |
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if (s->method == 0) |
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hard_thresholding(s->block, width, height, width, s->threshold, s->percent); |
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else if (s->method == 1) |
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soft_thresholding(s->block, width, height, width, s->threshold, s->percent, s->nsteps); |
||||
else |
||||
qian_thresholding(s->block, width, height, width, s->threshold, s->percent); |
||||
|
||||
s->hlowsize[0] = (width + 1) >> 1; |
||||
s->hhighsize[0] = width >> 1; |
||||
s->vlowsize[0] = (height + 1) >> 1; |
||||
s->vhighsize[0] = height >> 1; |
||||
|
||||
for (i = 1; i < s->nsteps; i++) { |
||||
s->hlowsize[i] = (s->hlowsize[i - 1] + 1) >> 1; |
||||
s->hhighsize[i] = s->hlowsize[i - 1] >> 1; |
||||
s->vlowsize[i] = (s->vlowsize[i - 1] + 1) >> 1; |
||||
s->vhighsize[i] = s->vlowsize[i - 1] >> 1; |
||||
} |
||||
|
||||
while (nsteps_invert--) { |
||||
const int idx = s->vlowsize[nsteps_invert] + s->vhighsize[nsteps_invert]; |
||||
const int idx2 = s->hlowsize[nsteps_invert] + s->hhighsize[nsteps_invert]; |
||||
float * idx3 = s->block; |
||||
for (i = 0; i < idx2; i++) { |
||||
copyv(idx3, width, s->in + NPAD, idx); |
||||
invert_step(s->in, s->out, s->tmp, idx, s); |
||||
copyh(s->out + NPAD, idx3, width, idx); |
||||
idx3++; |
||||
} |
||||
|
||||
idx3 = s->block; |
||||
for (i = 0; i < idx; i++) { |
||||
copy(idx3, s->in + NPAD, idx2); |
||||
invert_step(s->in, s->out, s->tmp, idx2, s); |
||||
copy(s->out + NPAD, idx3, idx2); |
||||
idx3 += width; |
||||
} |
||||
} |
||||
|
||||
if (s->depth <= 8) { |
||||
for (y = 0; y < height; y++) { |
||||
for (x = 0; x < width; x++) |
||||
dstp8[x] = av_clip_uint8(input[x] + 0.5f); |
||||
input += width; |
||||
dstp8 += out->linesize[p]; |
||||
} |
||||
} else { |
||||
for (y = 0; y < height; y++) { |
||||
for (x = 0; x < width; x++) |
||||
dstp16[x] = av_clip(input[x] + 0.5f, 0, s->peak); |
||||
input += width; |
||||
dstp16 += out->linesize[p] / 2; |
||||
} |
||||
} |
||||
} |
||||
} |
||||
|
||||
static int filter_frame(AVFilterLink *inlink, AVFrame *in) |
||||
{ |
||||
AVFilterContext *ctx = inlink->dst; |
||||
VagueDenoiserContext *s = ctx->priv; |
||||
AVFilterLink *outlink = ctx->outputs[0]; |
||||
AVFrame *out; |
||||
int direct = av_frame_is_writable(in); |
||||
|
||||
if (direct) { |
||||
out = in; |
||||
} 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); |
||||
} |
||||
|
||||
filter(s, in, out); |
||||
|
||||
if (!direct) |
||||
av_frame_free(&in); |
||||
|
||||
return ff_filter_frame(outlink, out); |
||||
} |
||||
|
||||
static av_cold void uninit(AVFilterContext *ctx) |
||||
{ |
||||
VagueDenoiserContext *s = ctx->priv; |
||||
|
||||
av_freep(&s->block); |
||||
av_freep(&s->in); |
||||
av_freep(&s->out); |
||||
av_freep(&s->tmp); |
||||
} |
||||
|
||||
static const AVFilterPad vaguedenoiser_inputs[] = { |
||||
{ |
||||
.name = "default", |
||||
.type = AVMEDIA_TYPE_VIDEO, |
||||
.config_props = config_input, |
||||
.filter_frame = filter_frame, |
||||
}, |
||||
{ NULL } |
||||
}; |
||||
|
||||
|
||||
static const AVFilterPad vaguedenoiser_outputs[] = { |
||||
{ |
||||
.name = "default", |
||||
.type = AVMEDIA_TYPE_VIDEO |
||||
}, |
||||
{ NULL } |
||||
}; |
||||
|
||||
AVFilter ff_vf_vaguedenoiser = { |
||||
.name = "vaguedenoiser", |
||||
.description = NULL_IF_CONFIG_SMALL("Apply a Wavelet based Denoiser."), |
||||
.priv_size = sizeof(VagueDenoiserContext), |
||||
.priv_class = &vaguedenoiser_class, |
||||
.uninit = uninit, |
||||
.query_formats = query_formats, |
||||
.inputs = vaguedenoiser_inputs, |
||||
.outputs = vaguedenoiser_outputs, |
||||
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC, |
||||
}; |
||||
Loading…
Reference in new issue