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-rw-r--r--media/libvpx/vp8/encoder/denoising.c745
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diff --git a/media/libvpx/vp8/encoder/denoising.c b/media/libvpx/vp8/encoder/denoising.c
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+++ b/media/libvpx/vp8/encoder/denoising.c
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+/*
+ * 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 <limits.h>
+
+#include "denoising.h"
+
+#include "vp8/common/reconinter.h"
+#include "vpx/vpx_integer.h"
+#include "vpx_mem/vpx_mem.h"
+#include "vp8_rtcd.h"
+
+static const unsigned int NOISE_MOTION_THRESHOLD = 25 * 25;
+/* 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 const unsigned int SSE_THRESHOLD_HIGH = 16 * 16 * 60;
+
+/*
+ * The filter function was modified to reduce the computational complexity.
+ * Step 1:
+ * Instead of applying tap coefficients for each pixel, we calculated the
+ * pixel adjustments vs. pixel diff value ahead of time.
+ * adjustment = filtered_value - current_raw
+ * = (filter_coefficient * diff + 128) >> 8
+ * where
+ * filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
+ * filter_coefficient += filter_coefficient /
+ * (3 + motion_magnitude_adjustment);
+ * filter_coefficient is clamped to 0 ~ 255.
+ *
+ * Step 2:
+ * The adjustment vs. diff curve becomes flat very quick when diff increases.
+ * This allowed us to use only several levels to approximate the curve without
+ * changing the filtering algorithm too much.
+ * The adjustments were further corrected by checking the motion magnitude.
+ * The levels used are:
+ * diff adjustment w/o motion correction adjustment w/ motion correction
+ * [-255, -16] -6 -7
+ * [-15, -8] -4 -5
+ * [-7, -4] -3 -4
+ * [-3, 3] diff diff
+ * [4, 7] 3 4
+ * [8, 15] 4 5
+ * [16, 255] 6 7
+ */
+
+int vp8_denoiser_filter_c(unsigned char *mc_running_avg_y, int mc_avg_y_stride,
+ unsigned char *running_avg_y, int avg_y_stride,
+ unsigned char *sig, int sig_stride,
+ unsigned int motion_magnitude,
+ int increase_denoising)
+{
+ unsigned char *running_avg_y_start = running_avg_y;
+ unsigned char *sig_start = sig;
+ int sum_diff_thresh;
+ int r, c;
+ int sum_diff = 0;
+ int adj_val[3] = {3, 4, 6};
+ int shift_inc1 = 0;
+ int shift_inc2 = 1;
+ int col_sum[16] = {0, 0, 0, 0,
+ 0, 0, 0, 0,
+ 0, 0, 0, 0,
+ 0, 0, 0, 0};
+ /* If motion_magnitude is small, making the denoiser more aggressive by
+ * increasing the adjustment for each level. Add another increment for
+ * blocks that are labeled for increase denoising. */
+ if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD)
+ {
+ if (increase_denoising) {
+ shift_inc1 = 1;
+ shift_inc2 = 2;
+ }
+ adj_val[0] += shift_inc2;
+ adj_val[1] += shift_inc2;
+ adj_val[2] += shift_inc2;
+ }
+
+ for (r = 0; r < 16; ++r)
+ {
+ for (c = 0; c < 16; ++c)
+ {
+ int diff = 0;
+ int adjustment = 0;
+ int absdiff = 0;
+
+ diff = mc_running_avg_y[c] - sig[c];
+ absdiff = abs(diff);
+
+ // When |diff| <= |3 + shift_inc1|, use pixel value from
+ // last denoised raw.
+ if (absdiff <= 3 + shift_inc1)
+ {
+ running_avg_y[c] = mc_running_avg_y[c];
+ col_sum[c] += diff;
+ }
+ else
+ {
+ if (absdiff >= 4 + shift_inc1 && absdiff <= 7)
+ adjustment = adj_val[0];
+ else if (absdiff >= 8 && absdiff <= 15)
+ adjustment = adj_val[1];
+ else
+ adjustment = adj_val[2];
+
+ if (diff > 0)
+ {
+ if ((sig[c] + adjustment) > 255)
+ running_avg_y[c] = 255;
+ else
+ running_avg_y[c] = sig[c] + adjustment;
+
+ col_sum[c] += adjustment;
+ }
+ else
+ {
+ if ((sig[c] - adjustment) < 0)
+ running_avg_y[c] = 0;
+ else
+ running_avg_y[c] = sig[c] - adjustment;
+
+ col_sum[c] -= adjustment;
+ }
+ }
+ }
+
+ /* Update pointers for next iteration. */
+ sig += sig_stride;
+ mc_running_avg_y += mc_avg_y_stride;
+ running_avg_y += avg_y_stride;
+ }
+
+ for (c = 0; c < 16; ++c) {
+ // Below we clip the value in the same way which SSE code use.
+ // When adopting aggressive denoiser, the adj_val for each pixel
+ // could be at most 8 (this is current max adjustment of the map).
+ // In SSE code, we calculate the sum of adj_val for
+ // the columns, so the sum could be upto 128(16 rows). However,
+ // the range of the value is -128 ~ 127 in SSE code, that's why
+ // we do this change in C code.
+ // We don't do this for UV denoiser, since there are only 8 rows,
+ // and max adjustments <= 8, so the sum of the columns will not
+ // exceed 64.
+ if (col_sum[c] >= 128) {
+ col_sum[c] = 127;
+ }
+ sum_diff += col_sum[c];
+ }
+
+ sum_diff_thresh= SUM_DIFF_THRESHOLD;
+ if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH;
+ if (abs(sum_diff) > sum_diff_thresh) {
+ // Before returning to copy the block (i.e., apply no denoising), check
+ // if we can still apply some (weaker) temporal filtering to this block,
+ // that would otherwise not be denoised at all. Simplest is to apply
+ // an additional adjustment to running_avg_y to bring it closer to sig.
+ // The adjustment is capped by a maximum delta, and chosen such that
+ // in most cases the resulting sum_diff will be within the
+ // accceptable range given by sum_diff_thresh.
+
+ // The delta is set by the excess of absolute pixel diff over threshold.
+ int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1;
+ // Only apply the adjustment for max delta up to 3.
+ if (delta < 4) {
+ sig -= sig_stride * 16;
+ mc_running_avg_y -= mc_avg_y_stride * 16;
+ running_avg_y -= avg_y_stride * 16;
+ for (r = 0; r < 16; ++r) {
+ for (c = 0; c < 16; ++c) {
+ int diff = mc_running_avg_y[c] - sig[c];
+ int adjustment = abs(diff);
+ if (adjustment > delta)
+ adjustment = delta;
+ if (diff > 0) {
+ // Bring denoised signal down.
+ if (running_avg_y[c] - adjustment < 0)
+ running_avg_y[c] = 0;
+ else
+ running_avg_y[c] = running_avg_y[c] - adjustment;
+ col_sum[c] -= adjustment;
+ } else if (diff < 0) {
+ // Bring denoised signal up.
+ if (running_avg_y[c] + adjustment > 255)
+ running_avg_y[c] = 255;
+ else
+ running_avg_y[c] = running_avg_y[c] + adjustment;
+ col_sum[c] += adjustment;
+ }
+ }
+ // TODO(marpan): Check here if abs(sum_diff) has gone below the
+ // threshold sum_diff_thresh, and if so, we can exit the row loop.
+ sig += sig_stride;
+ mc_running_avg_y += mc_avg_y_stride;
+ running_avg_y += avg_y_stride;
+ }
+
+ sum_diff = 0;
+ for (c = 0; c < 16; ++c) {
+ if (col_sum[c] >= 128) {
+ col_sum[c] = 127;
+ }
+ sum_diff += col_sum[c];
+ }
+
+ if (abs(sum_diff) > sum_diff_thresh)
+ return COPY_BLOCK;
+ } else {
+ return COPY_BLOCK;
+ }
+ }
+
+ vp8_copy_mem16x16(running_avg_y_start, avg_y_stride, sig_start, sig_stride);
+ return FILTER_BLOCK;
+}
+
+int vp8_denoiser_filter_uv_c(unsigned char *mc_running_avg_uv,
+ int mc_avg_uv_stride,
+ unsigned char *running_avg_uv,
+ int avg_uv_stride,
+ unsigned char *sig,
+ int sig_stride,
+ unsigned int motion_magnitude,
+ int increase_denoising) {
+ unsigned char *running_avg_uv_start = running_avg_uv;
+ unsigned char *sig_start = sig;
+ int sum_diff_thresh;
+ int r, c;
+ int sum_diff = 0;
+ int sum_block = 0;
+ int adj_val[3] = {3, 4, 6};
+ int shift_inc1 = 0;
+ int shift_inc2 = 1;
+ /* If motion_magnitude is small, making the denoiser more aggressive by
+ * increasing the adjustment for each level. Add another increment for
+ * blocks that are labeled for increase denoising. */
+ if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD_UV) {
+ if (increase_denoising) {
+ shift_inc1 = 1;
+ shift_inc2 = 2;
+ }
+ adj_val[0] += shift_inc2;
+ adj_val[1] += shift_inc2;
+ adj_val[2] += shift_inc2;
+ }
+
+ // Avoid denoising color signal if its close to average level.
+ for (r = 0; r < 8; ++r) {
+ for (c = 0; c < 8; ++c) {
+ sum_block += sig[c];
+ }
+ sig += sig_stride;
+ }
+ if (abs(sum_block - (128 * 8 * 8)) < SUM_DIFF_FROM_AVG_THRESH_UV) {
+ return COPY_BLOCK;
+ }
+
+ sig -= sig_stride * 8;
+ for (r = 0; r < 8; ++r) {
+ for (c = 0; c < 8; ++c) {
+ int diff = 0;
+ int adjustment = 0;
+ int absdiff = 0;
+
+ diff = mc_running_avg_uv[c] - sig[c];
+ absdiff = abs(diff);
+
+ // When |diff| <= |3 + shift_inc1|, use pixel value from
+ // last denoised raw.
+ if (absdiff <= 3 + shift_inc1) {
+ running_avg_uv[c] = mc_running_avg_uv[c];
+ sum_diff += diff;
+ } else {
+ if (absdiff >= 4 && absdiff <= 7)
+ adjustment = adj_val[0];
+ else if (absdiff >= 8 && absdiff <= 15)
+ adjustment = adj_val[1];
+ else
+ adjustment = adj_val[2];
+ if (diff > 0) {
+ if ((sig[c] + adjustment) > 255)
+ running_avg_uv[c] = 255;
+ else
+ running_avg_uv[c] = sig[c] + adjustment;
+ sum_diff += adjustment;
+ } else {
+ if ((sig[c] - adjustment) < 0)
+ running_avg_uv[c] = 0;
+ else
+ running_avg_uv[c] = sig[c] - adjustment;
+ sum_diff -= adjustment;
+ }
+ }
+ }
+ /* Update pointers for next iteration. */
+ sig += sig_stride;
+ mc_running_avg_uv += mc_avg_uv_stride;
+ running_avg_uv += avg_uv_stride;
+ }
+
+ sum_diff_thresh= SUM_DIFF_THRESHOLD_UV;
+ if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH_UV;
+ if (abs(sum_diff) > sum_diff_thresh) {
+ // Before returning to copy the block (i.e., apply no denoising), check
+ // if we can still apply some (weaker) temporal filtering to this block,
+ // that would otherwise not be denoised at all. Simplest is to apply
+ // an additional adjustment to running_avg_y to bring it closer to sig.
+ // The adjustment is capped by a maximum delta, and chosen such that
+ // in most cases the resulting sum_diff will be within the
+ // accceptable range given by sum_diff_thresh.
+
+ // The delta is set by the excess of absolute pixel diff over threshold.
+ int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1;
+ // Only apply the adjustment for max delta up to 3.
+ if (delta < 4) {
+ sig -= sig_stride * 8;
+ mc_running_avg_uv -= mc_avg_uv_stride * 8;
+ running_avg_uv -= avg_uv_stride * 8;
+ for (r = 0; r < 8; ++r) {
+ for (c = 0; c < 8; ++c) {
+ int diff = mc_running_avg_uv[c] - sig[c];
+ int adjustment = abs(diff);
+ if (adjustment > delta)
+ adjustment = delta;
+ if (diff > 0) {
+ // Bring denoised signal down.
+ if (running_avg_uv[c] - adjustment < 0)
+ running_avg_uv[c] = 0;
+ else
+ running_avg_uv[c] = running_avg_uv[c] - adjustment;
+ sum_diff -= adjustment;
+ } else if (diff < 0) {
+ // Bring denoised signal up.
+ if (running_avg_uv[c] + adjustment > 255)
+ running_avg_uv[c] = 255;
+ else
+ running_avg_uv[c] = running_avg_uv[c] + adjustment;
+ sum_diff += adjustment;
+ }
+ }
+ // TODO(marpan): Check here if abs(sum_diff) has gone below the
+ // threshold sum_diff_thresh, and if so, we can exit the row loop.
+ sig += sig_stride;
+ mc_running_avg_uv += mc_avg_uv_stride;
+ running_avg_uv += avg_uv_stride;
+ }
+ if (abs(sum_diff) > sum_diff_thresh)
+ return COPY_BLOCK;
+ } else {
+ return COPY_BLOCK;
+ }
+ }
+
+ vp8_copy_mem8x8(running_avg_uv_start, avg_uv_stride, sig_start,
+ sig_stride);
+ return FILTER_BLOCK;
+}
+
+void vp8_denoiser_set_parameters(VP8_DENOISER *denoiser, int mode) {
+ assert(mode > 0); // Denoiser is allocated only if mode > 0.
+ if (mode == 1) {
+ denoiser->denoiser_mode = kDenoiserOnYOnly;
+ } else if (mode == 2) {
+ denoiser->denoiser_mode = kDenoiserOnYUV;
+ } else if (mode == 3) {
+ denoiser->denoiser_mode = kDenoiserOnYUVAggressive;
+ } else {
+ denoiser->denoiser_mode = kDenoiserOnYUV;
+ }
+ if (denoiser->denoiser_mode != kDenoiserOnYUVAggressive) {
+ denoiser->denoise_pars.scale_sse_thresh = 1;
+ denoiser->denoise_pars.scale_motion_thresh = 8;
+ denoiser->denoise_pars.scale_increase_filter = 0;
+ denoiser->denoise_pars.denoise_mv_bias = 95;
+ denoiser->denoise_pars.pickmode_mv_bias = 100;
+ denoiser->denoise_pars.qp_thresh = 0;
+ denoiser->denoise_pars.consec_zerolast = UINT_MAX;
+ denoiser->denoise_pars.spatial_blur = 0;
+ } else {
+ denoiser->denoise_pars.scale_sse_thresh = 2;
+ denoiser->denoise_pars.scale_motion_thresh = 16;
+ denoiser->denoise_pars.scale_increase_filter = 1;
+ denoiser->denoise_pars.denoise_mv_bias = 60;
+ denoiser->denoise_pars.pickmode_mv_bias = 75;
+ denoiser->denoise_pars.qp_thresh = 80;
+ denoiser->denoise_pars.consec_zerolast = 15;
+ denoiser->denoise_pars.spatial_blur = 0;
+ }
+}
+
+int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height,
+ int num_mb_rows, int num_mb_cols, int mode)
+{
+ int i;
+ assert(denoiser);
+ denoiser->num_mb_cols = num_mb_cols;
+
+ for (i = 0; i < MAX_REF_FRAMES; i++)
+ {
+ denoiser->yv12_running_avg[i].flags = 0;
+
+ if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg[i]), width,
+ height, VP8BORDERINPIXELS)
+ < 0)
+ {
+ vp8_denoiser_free(denoiser);
+ return 1;
+ }
+ memset(denoiser->yv12_running_avg[i].buffer_alloc, 0,
+ denoiser->yv12_running_avg[i].frame_size);
+
+ }
+ 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;
+ }
+
+ memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
+ denoiser->yv12_mc_running_avg.frame_size);
+
+ if (vp8_yv12_alloc_frame_buffer(&denoiser->yv12_last_source, width,
+ height, VP8BORDERINPIXELS) < 0) {
+ vp8_denoiser_free(denoiser);
+ return 1;
+ }
+ memset(denoiser->yv12_last_source.buffer_alloc, 0,
+ denoiser->yv12_last_source.frame_size);
+
+ denoiser->denoise_state = vpx_calloc((num_mb_rows * num_mb_cols), 1);
+ memset(denoiser->denoise_state, 0, (num_mb_rows * num_mb_cols));
+ vp8_denoiser_set_parameters(denoiser, mode);
+ denoiser->nmse_source_diff = 0;
+ denoiser->nmse_source_diff_count = 0;
+ denoiser->qp_avg = 0;
+ // QP threshold below which we can go up to aggressive mode.
+ denoiser->qp_threshold_up = 80;
+ // QP threshold above which we can go back down to normal mode.
+ // For now keep this second threshold high, so not used currently.
+ denoiser->qp_threshold_down = 128;
+ // Bitrate thresholds and noise metric (nmse) thresholds for switching to
+ // aggressive mode.
+ // TODO(marpan): Adjust thresholds, including effect on resolution.
+ denoiser->bitrate_threshold = 400000; // (bits/sec).
+ denoiser->threshold_aggressive_mode = 80;
+ if (width * height > 1280 * 720) {
+ denoiser->bitrate_threshold = 3000000;
+ denoiser->threshold_aggressive_mode = 200;
+ } else if (width * height > 960 * 540) {
+ denoiser->bitrate_threshold = 1200000;
+ denoiser->threshold_aggressive_mode = 120;
+ } else if (width * height > 640 * 480) {
+ denoiser->bitrate_threshold = 600000;
+ denoiser->threshold_aggressive_mode = 100;
+ }
+ return 0;
+}
+
+
+void vp8_denoiser_free(VP8_DENOISER *denoiser)
+{
+ int i;
+ assert(denoiser);
+
+ for (i = 0; i < MAX_REF_FRAMES ; i++)
+ {
+ vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg[i]);
+ }
+ vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
+ vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_last_source);
+ vpx_free(denoiser->denoise_state);
+}
+
+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,
+ loop_filter_info_n *lfi_n,
+ int mb_row,
+ int mb_col,
+ int block_index)
+
+{
+ int mv_row;
+ int mv_col;
+ unsigned int motion_threshold;
+ unsigned int motion_magnitude2;
+ unsigned int sse_thresh;
+ int sse_diff_thresh = 0;
+ // Spatial loop filter: only applied selectively based on
+ // temporal filter state of block relative to top/left neighbors.
+ int apply_spatial_loop_filter = 1;
+ MV_REFERENCE_FRAME frame = x->best_reference_frame;
+ MV_REFERENCE_FRAME zero_frame = x->best_zeromv_reference_frame;
+
+ enum vp8_denoiser_decision decision = FILTER_BLOCK;
+ enum vp8_denoiser_decision decision_u = COPY_BLOCK;
+ enum vp8_denoiser_decision decision_v = COPY_BLOCK;
+
+ if (zero_frame)
+ {
+ YV12_BUFFER_CONFIG *src = &denoiser->yv12_running_avg[frame];
+ YV12_BUFFER_CONFIG *dst = &denoiser->yv12_mc_running_avg;
+ YV12_BUFFER_CONFIG saved_pre,saved_dst;
+ MB_MODE_INFO saved_mbmi;
+ MACROBLOCKD *filter_xd = &x->e_mbd;
+ MB_MODE_INFO *mbmi = &filter_xd->mode_info_context->mbmi;
+ int sse_diff = 0;
+ // Bias on zero motion vector sse.
+ const int zero_bias = denoiser->denoise_pars.denoise_mv_bias;
+ zero_mv_sse = (unsigned int)((int64_t)zero_mv_sse * zero_bias / 100);
+ sse_diff = zero_mv_sse - best_sse;
+
+ saved_mbmi = *mbmi;
+
+ /* Use the best MV for the compensation. */
+ mbmi->ref_frame = x->best_reference_frame;
+ mbmi->mode = x->best_sse_inter_mode;
+ mbmi->mv = x->best_sse_mv;
+ mbmi->need_to_clamp_mvs = x->need_to_clamp_best_mvs;
+ mv_col = x->best_sse_mv.as_mv.col;
+ mv_row = x->best_sse_mv.as_mv.row;
+ // Bias to zero_mv if small amount of motion.
+ // Note sse_diff_thresh is intialized to zero, so this ensures
+ // we will always choose zero_mv for denoising if
+ // zero_mv_see <= best_sse (i.e., sse_diff <= 0).
+ if ((unsigned int)(mv_row * mv_row + mv_col * mv_col)
+ <= NOISE_MOTION_THRESHOLD)
+ sse_diff_thresh = (int)SSE_DIFF_THRESHOLD;
+
+ if (frame == INTRA_FRAME ||
+ sse_diff <= sse_diff_thresh)
+ {
+ /*
+ * 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.
+ */
+ x->denoise_zeromv = 1;
+ mbmi->ref_frame =
+ x->best_zeromv_reference_frame;
+
+ src = &denoiser->yv12_running_avg[zero_frame];
+
+ mbmi->mode = ZEROMV;
+ mbmi->mv.as_int = 0;
+ x->best_sse_inter_mode = ZEROMV;
+ x->best_sse_mv.as_int = 0;
+ best_sse = zero_mv_sse;
+ }
+
+ saved_pre = filter_xd->pre;
+ saved_dst = filter_xd->dst;
+
+ /* 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;
+
+ 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);
+ }
+ filter_xd->pre = saved_pre;
+ filter_xd->dst = saved_dst;
+ *mbmi = saved_mbmi;
+
+ }
+
+ mv_row = x->best_sse_mv.as_mv.row;
+ mv_col = x->best_sse_mv.as_mv.col;
+ motion_magnitude2 = mv_row * mv_row + mv_col * mv_col;
+ motion_threshold = denoiser->denoise_pars.scale_motion_thresh *
+ NOISE_MOTION_THRESHOLD;
+
+ // If block is considered to be skin area, lower the motion threshold.
+ // In current version set threshold = 1, so only denoise very low
+ // (i.e., zero) mv on skin.
+ if (x->is_skin)
+ motion_threshold = 1;
+
+ if (motion_magnitude2 <
+ denoiser->denoise_pars.scale_increase_filter * NOISE_MOTION_THRESHOLD)
+ x->increase_denoising = 1;
+
+ sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD;
+ if (x->increase_denoising)
+ sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD_HIGH;
+
+ if (best_sse > sse_thresh || motion_magnitude2 > motion_threshold)
+ decision = COPY_BLOCK;
+
+ if (decision == FILTER_BLOCK)
+ {
+ unsigned char *mc_running_avg_y =
+ denoiser->yv12_mc_running_avg.y_buffer + recon_yoffset;
+ int mc_avg_y_stride = denoiser->yv12_mc_running_avg.y_stride;
+ unsigned char *running_avg_y =
+ denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset;
+ int avg_y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride;
+
+ /* Filter. */
+ decision = vp8_denoiser_filter(mc_running_avg_y, mc_avg_y_stride,
+ running_avg_y, avg_y_stride,
+ x->thismb, 16, motion_magnitude2,
+ x->increase_denoising);
+ denoiser->denoise_state[block_index] = motion_magnitude2 > 0 ?
+ kFilterNonZeroMV : kFilterZeroMV;
+ // Only denoise UV for zero motion, and if y channel was denoised.
+ if (denoiser->denoiser_mode != kDenoiserOnYOnly &&
+ motion_magnitude2 == 0 &&
+ decision == FILTER_BLOCK) {
+ unsigned char *mc_running_avg_u =
+ denoiser->yv12_mc_running_avg.u_buffer + recon_uvoffset;
+ unsigned char *running_avg_u =
+ denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset;
+ unsigned char *mc_running_avg_v =
+ denoiser->yv12_mc_running_avg.v_buffer + recon_uvoffset;
+ unsigned char *running_avg_v =
+ denoiser->yv12_running_avg[INTRA_FRAME].v_buffer + recon_uvoffset;
+ int mc_avg_uv_stride = denoiser->yv12_mc_running_avg.uv_stride;
+ int avg_uv_stride = denoiser->yv12_running_avg[INTRA_FRAME].uv_stride;
+ int signal_stride = x->block[16].src_stride;
+ decision_u =
+ vp8_denoiser_filter_uv(mc_running_avg_u, mc_avg_uv_stride,
+ running_avg_u, avg_uv_stride,
+ x->block[16].src + *x->block[16].base_src,
+ signal_stride, motion_magnitude2, 0);
+ decision_v =
+ vp8_denoiser_filter_uv(mc_running_avg_v, mc_avg_uv_stride,
+ running_avg_v, avg_uv_stride,
+ x->block[20].src + *x->block[20].base_src,
+ signal_stride, motion_magnitude2, 0);
+ }
+ }
+ if (decision == COPY_BLOCK)
+ {
+ /* No filtering of this block; it differs too much from the predictor,
+ * or the motion vector magnitude is considered too big.
+ */
+ x->denoise_zeromv = 0;
+ vp8_copy_mem16x16(
+ x->thismb, 16,
+ denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
+ denoiser->yv12_running_avg[INTRA_FRAME].y_stride);
+ denoiser->denoise_state[block_index] = kNoFilter;
+ }
+ if (denoiser->denoiser_mode != kDenoiserOnYOnly) {
+ if (decision_u == COPY_BLOCK) {
+ vp8_copy_mem8x8(
+ x->block[16].src + *x->block[16].base_src, x->block[16].src_stride,
+ denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset,
+ denoiser->yv12_running_avg[INTRA_FRAME].uv_stride);
+ }
+ if (decision_v == COPY_BLOCK) {
+ vp8_copy_mem8x8(
+ x->block[20].src + *x->block[20].base_src, x->block[16].src_stride,
+ denoiser->yv12_running_avg[INTRA_FRAME].v_buffer + recon_uvoffset,
+ denoiser->yv12_running_avg[INTRA_FRAME].uv_stride);
+ }
+ }
+ // Option to selectively deblock the denoised signal, for y channel only.
+ if (apply_spatial_loop_filter) {
+ loop_filter_info lfi;
+ int apply_filter_col = 0;
+ int apply_filter_row = 0;
+ int apply_filter = 0;
+ int y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride;
+ int uv_stride =denoiser->yv12_running_avg[INTRA_FRAME].uv_stride;
+
+ // Fix filter level to some nominal value for now.
+ int filter_level = 48;
+
+ int hev_index = lfi_n->hev_thr_lut[INTER_FRAME][filter_level];
+ lfi.mblim = lfi_n->mblim[filter_level];
+ lfi.blim = lfi_n->blim[filter_level];
+ lfi.lim = lfi_n->lim[filter_level];
+ lfi.hev_thr = lfi_n->hev_thr[hev_index];
+
+ // Apply filter if there is a difference in the denoiser filter state
+ // between the current and left/top block, or if non-zero motion vector
+ // is used for the motion-compensated filtering.
+ if (mb_col > 0) {
+ apply_filter_col = !((denoiser->denoise_state[block_index] ==
+ denoiser->denoise_state[block_index - 1]) &&
+ denoiser->denoise_state[block_index] != kFilterNonZeroMV);
+ if (apply_filter_col) {
+ // Filter left vertical edge.
+ apply_filter = 1;
+ vp8_loop_filter_mbv(
+ denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
+ NULL, NULL, y_stride, uv_stride, &lfi);
+ }
+ }
+ if (mb_row > 0) {
+ apply_filter_row = !((denoiser->denoise_state[block_index] ==
+ denoiser->denoise_state[block_index - denoiser->num_mb_cols]) &&
+ denoiser->denoise_state[block_index] != kFilterNonZeroMV);
+ if (apply_filter_row) {
+ // Filter top horizontal edge.
+ apply_filter = 1;
+ vp8_loop_filter_mbh(
+ denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
+ NULL, NULL, y_stride, uv_stride, &lfi);
+ }
+ }
+ if (apply_filter) {
+ // Update the signal block |x|. Pixel changes are only to top and/or
+ // left boundary pixels: can we avoid full block copy here.
+ vp8_copy_mem16x16(
+ denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
+ y_stride, x->thismb, 16);
+ }
+ }
+}