/* * Copyright (c) 2012 The WebM project authors. All Rights Reserved. * * Use of this source code is governed by a BSD-style license * that can be found in the LICENSE file in the root of the source * tree. An additional intellectual property rights grant can be found * in the file PATENTS. All contributing project authors may * be found in the AUTHORS file in the root of the source tree. */ #include "denoising.h" #include "vp8/common/reconinter.h" #include "vpx/vpx_integer.h" #include "vpx_mem/vpx_mem.h" #include "vpx_rtcd.h" static const unsigned int NOISE_MOTION_THRESHOLD = 20*20; static const unsigned int NOISE_DIFF2_THRESHOLD = 75; // SSE_DIFF_THRESHOLD is selected as ~95% confidence assuming var(noise) ~= 100. static const unsigned int SSE_DIFF_THRESHOLD = 16*16*20; static const unsigned int SSE_THRESHOLD = 16*16*40; static uint8_t blend(uint8_t state, uint8_t sample, uint8_t factor_q8) { return (uint8_t)( (((uint16_t)factor_q8 * ((uint16_t)state) + // Q8 (uint16_t)(256 - factor_q8) * ((uint16_t)sample)) + 128) // Q8 >> 8); } static unsigned int denoiser_motion_compensate(YV12_BUFFER_CONFIG* src, YV12_BUFFER_CONFIG* dst, MACROBLOCK* x, unsigned int best_sse, unsigned int zero_mv_sse, int recon_yoffset, int recon_uvoffset) { MACROBLOCKD filter_xd = x->e_mbd; int mv_col; int mv_row; int sse_diff = zero_mv_sse - best_sse; // Compensate the running average. filter_xd.pre.y_buffer = src->y_buffer + recon_yoffset; filter_xd.pre.u_buffer = src->u_buffer + recon_uvoffset; filter_xd.pre.v_buffer = src->v_buffer + recon_uvoffset; // Write the compensated running average to the destination buffer. filter_xd.dst.y_buffer = dst->y_buffer + recon_yoffset; filter_xd.dst.u_buffer = dst->u_buffer + recon_uvoffset; filter_xd.dst.v_buffer = dst->v_buffer + recon_uvoffset; // Use the best MV for the compensation. filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME; filter_xd.mode_info_context->mbmi.mode = filter_xd.best_sse_inter_mode; filter_xd.mode_info_context->mbmi.mv = filter_xd.best_sse_mv; filter_xd.mode_info_context->mbmi.need_to_clamp_mvs = filter_xd.need_to_clamp_best_mvs; mv_col = filter_xd.best_sse_mv.as_mv.col; mv_row = filter_xd.best_sse_mv.as_mv.row; if (filter_xd.mode_info_context->mbmi.mode <= B_PRED || (mv_row*mv_row + mv_col*mv_col <= NOISE_MOTION_THRESHOLD && sse_diff < SSE_DIFF_THRESHOLD)) { // Handle intra blocks as referring to last frame with zero motion and // let the absolute pixel difference affect the filter factor. // Also consider small amount of motion as being random walk due to noise, // if it doesn't mean that we get a much bigger error. // Note that any changes to the mode info only affects the denoising. filter_xd.mode_info_context->mbmi.ref_frame = LAST_FRAME; filter_xd.mode_info_context->mbmi.mode = ZEROMV; filter_xd.mode_info_context->mbmi.mv.as_int = 0; x->e_mbd.best_sse_inter_mode = ZEROMV; x->e_mbd.best_sse_mv.as_int = 0; best_sse = zero_mv_sse; } if (!x->skip) { vp8_build_inter_predictors_mb(&filter_xd); } else { vp8_build_inter16x16_predictors_mb(&filter_xd, filter_xd.dst.y_buffer, filter_xd.dst.u_buffer, filter_xd.dst.v_buffer, filter_xd.dst.y_stride, filter_xd.dst.uv_stride); } return best_sse; } static void denoiser_filter(YV12_BUFFER_CONFIG* mc_running_avg, YV12_BUFFER_CONFIG* running_avg, MACROBLOCK* signal, unsigned int motion_magnitude2, int y_offset, int uv_offset) { unsigned char* sig = signal->thismb; int sig_stride = 16; unsigned char* mc_running_avg_y = mc_running_avg->y_buffer + y_offset; int mc_avg_y_stride = mc_running_avg->y_stride; unsigned char* running_avg_y = running_avg->y_buffer + y_offset; int avg_y_stride = running_avg->y_stride; int r, c; for (r = 0; r < 16; r++) { for (c = 0; c < 16; c++) { int diff; int absdiff = 0; unsigned int filter_coefficient; absdiff = sig[c] - mc_running_avg_y[c]; absdiff = absdiff > 0 ? absdiff : -absdiff; assert(absdiff >= 0 && absdiff < 256); filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3)); // Allow some additional filtering of static blocks, or blocks with very // small motion vectors. filter_coefficient += filter_coefficient / (3 + (motion_magnitude2 >> 3)); filter_coefficient = filter_coefficient > 255 ? 255 : filter_coefficient; running_avg_y[c] = blend(mc_running_avg_y[c], sig[c], filter_coefficient); diff = sig[c] - running_avg_y[c]; if (diff * diff < NOISE_DIFF2_THRESHOLD) { // Replace with mean to suppress the noise. sig[c] = running_avg_y[c]; } else { // Replace the filter state with the signal since the change in this // pixel isn't classified as noise. running_avg_y[c] = sig[c]; } } sig += sig_stride; mc_running_avg_y += mc_avg_y_stride; running_avg_y += avg_y_stride; } } int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height) { assert(denoiser); denoiser->yv12_running_avg.flags = 0; if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg), width, height, VP8BORDERINPIXELS) < 0) { vp8_denoiser_free(denoiser); return 1; } denoiser->yv12_mc_running_avg.flags = 0; if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width, height, VP8BORDERINPIXELS) < 0) { vp8_denoiser_free(denoiser); return 1; } vpx_memset(denoiser->yv12_running_avg.buffer_alloc, 0, denoiser->yv12_running_avg.frame_size); vpx_memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0, denoiser->yv12_mc_running_avg.frame_size); return 0; } void vp8_denoiser_free(VP8_DENOISER *denoiser) { assert(denoiser); vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg); vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg); } void vp8_denoiser_denoise_mb(VP8_DENOISER *denoiser, MACROBLOCK *x, unsigned int best_sse, unsigned int zero_mv_sse, int recon_yoffset, int recon_uvoffset) { int mv_row; int mv_col; unsigned int motion_magnitude2; // Motion compensate the running average. best_sse = denoiser_motion_compensate(&denoiser->yv12_running_avg, &denoiser->yv12_mc_running_avg, x, best_sse, zero_mv_sse, recon_yoffset, recon_uvoffset); mv_row = x->e_mbd.best_sse_mv.as_mv.row; mv_col = x->e_mbd.best_sse_mv.as_mv.col; motion_magnitude2 = mv_row*mv_row + mv_col*mv_col; if (best_sse > SSE_THRESHOLD || motion_magnitude2 > 8 * NOISE_MOTION_THRESHOLD) { // No filtering of this block since it differs too much from the predictor, // or the motion vector magnitude is considered too big. vp8_copy_mem16x16(x->thismb, 16, denoiser->yv12_running_avg.y_buffer + recon_yoffset, denoiser->yv12_running_avg.y_stride); return; } // Filter. denoiser_filter(&denoiser->yv12_mc_running_avg, &denoiser->yv12_running_avg, x, motion_magnitude2, recon_yoffset, recon_uvoffset); }