| /* |
| * 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); |
| } |
