303 lines
11 KiB
C
303 lines
11 KiB
C
/*
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* Copyright (c) 2015 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include <assert.h>
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#include <limits.h>
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#include <math.h>
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#include "./vpx_dsp_rtcd.h"
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#include "vpx_dsp/vpx_dsp_common.h"
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#include "vpx_scale/yv12config.h"
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#include "vpx/vpx_integer.h"
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#include "vp9/common/vp9_reconinter.h"
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#include "vp9/encoder/vp9_context_tree.h"
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#include "vp9/encoder/vp9_noise_estimate.h"
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#include "vp9/encoder/vp9_encoder.h"
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#if CONFIG_VP9_TEMPORAL_DENOISING
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// For SVC: only do noise estimation on top spatial layer.
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static INLINE int noise_est_svc(const struct VP9_COMP *const cpi) {
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return (!cpi->use_svc ||
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(cpi->use_svc &&
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cpi->svc.spatial_layer_id == cpi->svc.number_spatial_layers - 1));
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}
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#endif
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void vp9_noise_estimate_init(NOISE_ESTIMATE *const ne, int width, int height) {
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ne->enabled = 0;
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ne->level = (width * height < 1280 * 720) ? kLowLow : kLow;
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ne->value = 0;
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ne->count = 0;
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ne->thresh = 90;
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ne->last_w = 0;
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ne->last_h = 0;
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if (width * height >= 1920 * 1080) {
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ne->thresh = 200;
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} else if (width * height >= 1280 * 720) {
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ne->thresh = 140;
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} else if (width * height >= 640 * 360) {
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ne->thresh = 115;
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}
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ne->num_frames_estimate = 15;
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ne->adapt_thresh = (3 * ne->thresh) >> 1;
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}
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static int enable_noise_estimation(VP9_COMP *const cpi) {
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#if CONFIG_VP9_HIGHBITDEPTH
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if (cpi->common.use_highbitdepth) return 0;
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#endif
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// Enable noise estimation if denoising is on.
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi) &&
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cpi->common.width >= 320 && cpi->common.height >= 180)
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return 1;
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#endif
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// Only allow noise estimate under certain encoding mode.
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// Enabled for 1 pass CBR, speed >=5, and if resolution is same as original.
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// Not enabled for SVC mode and screen_content_mode.
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// Not enabled for low resolutions.
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if (cpi->oxcf.pass == 0 && cpi->oxcf.rc_mode == VPX_CBR &&
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cpi->oxcf.aq_mode == CYCLIC_REFRESH_AQ && cpi->oxcf.speed >= 5 &&
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cpi->resize_state == ORIG && cpi->resize_pending == 0 && !cpi->use_svc &&
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cpi->oxcf.content != VP9E_CONTENT_SCREEN &&
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cpi->common.width * cpi->common.height >= 640 * 360)
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return 1;
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else
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return 0;
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}
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#if CONFIG_VP9_TEMPORAL_DENOISING
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static void copy_frame(YV12_BUFFER_CONFIG *const dest,
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const YV12_BUFFER_CONFIG *const src) {
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int r;
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const uint8_t *srcbuf = src->y_buffer;
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uint8_t *destbuf = dest->y_buffer;
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assert(dest->y_width == src->y_width);
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assert(dest->y_height == src->y_height);
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for (r = 0; r < dest->y_height; ++r) {
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memcpy(destbuf, srcbuf, dest->y_width);
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destbuf += dest->y_stride;
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srcbuf += src->y_stride;
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}
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}
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#endif // CONFIG_VP9_TEMPORAL_DENOISING
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NOISE_LEVEL vp9_noise_estimate_extract_level(NOISE_ESTIMATE *const ne) {
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int noise_level = kLowLow;
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if (ne->value > (ne->thresh << 1)) {
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noise_level = kHigh;
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} else {
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if (ne->value > ne->thresh)
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noise_level = kMedium;
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else if (ne->value > (ne->thresh >> 1))
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noise_level = kLow;
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else
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noise_level = kLowLow;
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}
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return noise_level;
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}
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void vp9_update_noise_estimate(VP9_COMP *const cpi) {
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const VP9_COMMON *const cm = &cpi->common;
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NOISE_ESTIMATE *const ne = &cpi->noise_estimate;
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const int low_res = (cm->width <= 352 && cm->height <= 288);
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// Estimate of noise level every frame_period frames.
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int frame_period = 8;
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int thresh_consec_zeromv = 6;
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int frame_counter = cm->current_video_frame;
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// Estimate is between current source and last source.
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YV12_BUFFER_CONFIG *last_source = cpi->Last_Source;
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi)) {
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last_source = &cpi->denoiser.last_source;
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// Tune these thresholds for different resolutions when denoising is
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// enabled.
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if (cm->width > 640 && cm->width <= 1920) {
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thresh_consec_zeromv = 2;
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}
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}
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#endif
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ne->enabled = enable_noise_estimation(cpi);
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if (cpi->svc.number_spatial_layers > 1)
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frame_counter = cpi->svc.current_superframe;
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if (!ne->enabled || frame_counter % frame_period != 0 ||
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last_source == NULL ||
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(cpi->svc.number_spatial_layers == 1 &&
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(ne->last_w != cm->width || ne->last_h != cm->height))) {
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
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copy_frame(&cpi->denoiser.last_source, cpi->Source);
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#endif
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if (last_source != NULL) {
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ne->last_w = cm->width;
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ne->last_h = cm->height;
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}
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return;
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} else if (frame_counter > 60 && cpi->svc.num_encoded_top_layer > 1 &&
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cpi->rc.frames_since_key > cpi->svc.number_spatial_layers &&
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cpi->svc.spatial_layer_id == cpi->svc.number_spatial_layers - 1 &&
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cpi->rc.avg_frame_low_motion < (low_res ? 60 : 40)) {
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// Force noise estimation to 0 and denoiser off if content has high motion.
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ne->level = kLowLow;
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ne->count = 0;
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ne->num_frames_estimate = 10;
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi) &&
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cpi->svc.current_superframe > 1) {
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vp9_denoiser_set_noise_level(cpi, ne->level);
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copy_frame(&cpi->denoiser.last_source, cpi->Source);
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}
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#endif
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return;
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} else {
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unsigned int bin_size = 100;
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unsigned int hist[MAX_VAR_HIST_BINS] = { 0 };
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unsigned int hist_avg[MAX_VAR_HIST_BINS];
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unsigned int max_bin = 0;
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unsigned int max_bin_count = 0;
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unsigned int bin_cnt;
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int bsize = BLOCK_16X16;
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// Loop over sub-sample of 16x16 blocks of frame, and for blocks that have
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// been encoded as zero/small mv at least x consecutive frames, compute
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// the variance to update estimate of noise in the source.
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const uint8_t *src_y = cpi->Source->y_buffer;
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const int src_ystride = cpi->Source->y_stride;
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const uint8_t *last_src_y = last_source->y_buffer;
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const int last_src_ystride = last_source->y_stride;
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const uint8_t *src_u = cpi->Source->u_buffer;
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const uint8_t *src_v = cpi->Source->v_buffer;
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const int src_uvstride = cpi->Source->uv_stride;
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int mi_row, mi_col;
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int num_low_motion = 0;
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int frame_low_motion = 1;
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for (mi_row = 0; mi_row < cm->mi_rows; mi_row++) {
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for (mi_col = 0; mi_col < cm->mi_cols; mi_col++) {
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int bl_index = mi_row * cm->mi_cols + mi_col;
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if (cpi->consec_zero_mv[bl_index] > thresh_consec_zeromv)
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num_low_motion++;
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}
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}
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if (num_low_motion < ((3 * cm->mi_rows * cm->mi_cols) >> 3))
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frame_low_motion = 0;
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for (mi_row = 0; mi_row < cm->mi_rows; mi_row++) {
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for (mi_col = 0; mi_col < cm->mi_cols; mi_col++) {
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// 16x16 blocks, 1/4 sample of frame.
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if (mi_row % 4 == 0 && mi_col % 4 == 0 && mi_row < cm->mi_rows - 1 &&
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mi_col < cm->mi_cols - 1) {
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int bl_index = mi_row * cm->mi_cols + mi_col;
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int bl_index1 = bl_index + 1;
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int bl_index2 = bl_index + cm->mi_cols;
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int bl_index3 = bl_index2 + 1;
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int consec_zeromv =
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VPXMIN(cpi->consec_zero_mv[bl_index],
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VPXMIN(cpi->consec_zero_mv[bl_index1],
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VPXMIN(cpi->consec_zero_mv[bl_index2],
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cpi->consec_zero_mv[bl_index3])));
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// Only consider blocks that are likely steady background. i.e, have
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// been encoded as zero/low motion x (= thresh_consec_zeromv) frames
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// in a row. consec_zero_mv[] defined for 8x8 blocks, so consider all
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// 4 sub-blocks for 16x16 block. And exclude this frame if
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// high_source_sad is true (i.e., scene/content change).
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if (frame_low_motion && consec_zeromv > thresh_consec_zeromv &&
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!cpi->rc.high_source_sad &&
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!cpi->svc.high_source_sad_superframe) {
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int is_skin = 0;
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if (cpi->use_skin_detection) {
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is_skin =
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vp9_compute_skin_block(src_y, src_u, src_v, src_ystride,
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src_uvstride, bsize, consec_zeromv, 0);
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}
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if (!is_skin) {
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unsigned int sse;
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// Compute variance between co-located blocks from current and
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// last input frames.
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unsigned int variance = cpi->fn_ptr[bsize].vf(
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src_y, src_ystride, last_src_y, last_src_ystride, &sse);
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unsigned int hist_index = variance / bin_size;
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if (hist_index < MAX_VAR_HIST_BINS)
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hist[hist_index]++;
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else if (hist_index < 3 * (MAX_VAR_HIST_BINS >> 1))
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hist[MAX_VAR_HIST_BINS - 1]++; // Account for the tail
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}
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}
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}
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src_y += 8;
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last_src_y += 8;
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src_u += 4;
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src_v += 4;
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}
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src_y += (src_ystride << 3) - (cm->mi_cols << 3);
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last_src_y += (last_src_ystride << 3) - (cm->mi_cols << 3);
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src_u += (src_uvstride << 2) - (cm->mi_cols << 2);
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src_v += (src_uvstride << 2) - (cm->mi_cols << 2);
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}
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ne->last_w = cm->width;
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ne->last_h = cm->height;
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// Adjust histogram to account for effect that histogram flattens
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// and shifts to zero as scene darkens.
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if (hist[0] > 10 && (hist[MAX_VAR_HIST_BINS - 1] > hist[0] >> 2)) {
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hist[0] = 0;
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hist[1] >>= 2;
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hist[2] >>= 2;
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hist[3] >>= 2;
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hist[4] >>= 1;
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hist[5] >>= 1;
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hist[6] = 3 * hist[6] >> 1;
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hist[MAX_VAR_HIST_BINS - 1] >>= 1;
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}
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// Average hist[] and find largest bin
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for (bin_cnt = 0; bin_cnt < MAX_VAR_HIST_BINS; bin_cnt++) {
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if (bin_cnt == 0)
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hist_avg[bin_cnt] = (hist[0] + hist[1] + hist[2]) / 3;
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else if (bin_cnt == MAX_VAR_HIST_BINS - 1)
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hist_avg[bin_cnt] = hist[MAX_VAR_HIST_BINS - 1] >> 2;
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else if (bin_cnt == MAX_VAR_HIST_BINS - 2)
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hist_avg[bin_cnt] = (hist[bin_cnt - 1] + 2 * hist[bin_cnt] +
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(hist[bin_cnt + 1] >> 1) + 2) >>
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2;
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else
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hist_avg[bin_cnt] =
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(hist[bin_cnt - 1] + 2 * hist[bin_cnt] + hist[bin_cnt + 1] + 2) >>
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2;
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if (hist_avg[bin_cnt] > max_bin_count) {
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max_bin_count = hist_avg[bin_cnt];
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max_bin = bin_cnt;
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}
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}
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// Scale by 40 to work with existing thresholds
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ne->value = (int)((3 * ne->value + max_bin * 40) >> 2);
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// Quickly increase VNR strength when the noise level increases suddenly.
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if (ne->level < kMedium && ne->value > ne->adapt_thresh) {
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ne->count = ne->num_frames_estimate;
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} else {
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ne->count++;
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}
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if (ne->count == ne->num_frames_estimate) {
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// Reset counter and check noise level condition.
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ne->num_frames_estimate = 30;
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ne->count = 0;
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ne->level = vp9_noise_estimate_extract_level(ne);
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
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vp9_denoiser_set_noise_level(cpi, ne->level);
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#endif
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}
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}
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#if CONFIG_VP9_TEMPORAL_DENOISING
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if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
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copy_frame(&cpi->denoiser.last_source, cpi->Source);
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#endif
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}
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