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Fyodor Kyslov34b591f2020-06-24 20:13:58 -07001/*
Krishna Rapaka7319db52021-09-28 20:35:29 -07002 * Copyright (c) 2021, Alliance for Open Media. All rights reserved
Fyodor Kyslov34b591f2020-06-24 20:13:58 -07003 *
Vibhoothi41c6dd72021-10-12 18:48:26 +00004 * This source code is subject to the terms of the BSD 3-Clause Clear License
5 * and the Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear
6 * License was not distributed with this source code in the LICENSE file, you
7 * can obtain it at aomedia.org/license/software-license/bsd-3-c-c/. If the
8 * Alliance for Open Media Patent License 1.0 was not distributed with this
9 * source code in the PATENTS file, you can obtain it at
10 * aomedia.org/license/patent-license/.
Fyodor Kyslov34b591f2020-06-24 20:13:58 -070011 */
12
13#include <assert.h>
14#include <limits.h>
15#include <math.h>
16
17#include "config/aom_dsp_rtcd.h"
18#include "aom_dsp/aom_dsp_common.h"
19#include "aom_scale/yv12config.h"
20#include "aom/aom_integer.h"
21#include "av1/encoder/context_tree.h"
22#include "av1/encoder/av1_noise_estimate.h"
23#include "av1/encoder/encoder.h"
24
25#if CONFIG_AV1_TEMPORAL_DENOISING
26// For SVC: only do noise estimation on top spatial layer.
27static INLINE int noise_est_svc(const struct AV1_COMP *const cpi) {
28 return (!cpi->use_svc ||
29 (cpi->use_svc &&
30 cpi->svc.spatial_layer_id == cpi->svc.number_spatial_layers - 1));
31}
32#endif
33
34void av1_noise_estimate_init(NOISE_ESTIMATE *const ne, int width, int height) {
35 ne->enabled = 0;
36 ne->level = (width * height < 1280 * 720) ? kLowLow : kLow;
37 ne->value = 0;
38 ne->count = 0;
39 ne->thresh = 90;
40 ne->last_w = 0;
41 ne->last_h = 0;
42 if (width * height >= 1920 * 1080) {
43 ne->thresh = 200;
44 } else if (width * height >= 1280 * 720) {
45 ne->thresh = 140;
46 } else if (width * height >= 640 * 360) {
47 ne->thresh = 115;
48 }
49 ne->num_frames_estimate = 15;
50 ne->adapt_thresh = (3 * ne->thresh) >> 1;
51}
52
53static int enable_noise_estimation(AV1_COMP *const cpi) {
54 ResizePendingParams *const resize_pending_params =
55 &cpi->resize_pending_params;
56 const int resize_pending =
57 (resize_pending_params->width && resize_pending_params->height &&
58 (cpi->common.width != resize_pending_params->width ||
59 cpi->common.height != resize_pending_params->height));
60
Fyodor Kyslov34b591f2020-06-24 20:13:58 -070061 if (cpi->common.seq_params.use_highbitdepth) return 0;
Ryan Lei2a676372020-09-28 16:58:52 -070062
Fyodor Kyslov34b591f2020-06-24 20:13:58 -070063// Enable noise estimation if denoising is on.
64#if CONFIG_AV1_TEMPORAL_DENOISING
65 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi) &&
66 cpi->common.width >= 320 && cpi->common.height >= 180)
67 return 1;
68#endif
69 // Only allow noise estimate under certain encoding mode.
70 // Enabled for 1 pass CBR, speed >=5, and if resolution is same as original.
71 // Not enabled for SVC mode and screen_content_mode.
72 // Not enabled for low resolutions.
73 if (cpi->oxcf.pass == 0 && cpi->oxcf.rc_cfg.mode == AOM_CBR &&
74 cpi->oxcf.q_cfg.aq_mode == CYCLIC_REFRESH_AQ && cpi->oxcf.speed >= 5 &&
75 resize_pending == 0 && !cpi->use_svc &&
Vishesh94a65292020-07-01 15:28:53 +053076 cpi->oxcf.tune_cfg.content != AOM_CONTENT_SCREEN &&
Fyodor Kyslov34b591f2020-06-24 20:13:58 -070077 cpi->common.width * cpi->common.height >= 640 * 360)
78 return 1;
79 else
80 return 0;
81}
82
83#if CONFIG_AV1_TEMPORAL_DENOISING
84static void copy_frame(YV12_BUFFER_CONFIG *const dest,
85 const YV12_BUFFER_CONFIG *const src) {
86 const uint8_t *srcbuf = src->y_buffer;
87 uint8_t *destbuf = dest->y_buffer;
88
89 assert(dest->y_width == src->y_width);
90 assert(dest->y_height == src->y_height);
91
92 for (int r = 0; r < dest->y_height; ++r) {
93 memcpy(destbuf, srcbuf, dest->y_width);
94 destbuf += dest->y_stride;
95 srcbuf += src->y_stride;
96 }
97}
98#endif // CONFIG_AV1_TEMPORAL_DENOISING
99
100NOISE_LEVEL av1_noise_estimate_extract_level(NOISE_ESTIMATE *const ne) {
101 int noise_level = kLowLow;
102 if (ne->value > (ne->thresh << 1)) {
103 noise_level = kHigh;
104 } else {
105 if (ne->value > ne->thresh)
106 noise_level = kMedium;
107 else if (ne->value > (ne->thresh >> 1))
108 noise_level = kLow;
109 else
110 noise_level = kLowLow;
111 }
112 return noise_level;
113}
114
115void av1_update_noise_estimate(AV1_COMP *const cpi) {
116 const AV1_COMMON *const cm = &cpi->common;
117 const CommonModeInfoParams *const mi_params = &cm->mi_params;
118
119 NOISE_ESTIMATE *const ne = &cpi->noise_estimate;
120 const int low_res = (cm->width <= 352 && cm->height <= 288);
121 // Estimate of noise level every frame_period frames.
122 int frame_period = 8;
123 int thresh_consec_zeromv = 6;
124 int frame_counter = cm->current_frame.frame_number;
125 // Estimate is between current source and last source.
126 YV12_BUFFER_CONFIG *last_source = cpi->last_source;
127#if CONFIG_AV1_TEMPORAL_DENOISING
128 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi)) {
129 last_source = &cpi->denoiser.last_source;
130 // Tune these thresholds for different resolutions when denoising is
131 // enabled.
132 if (cm->width > 640 && cm->width <= 1920) {
133 thresh_consec_zeromv = 2;
134 }
135 }
136#endif
137 ne->enabled = enable_noise_estimation(cpi);
138 if (cpi->svc.number_spatial_layers > 1)
139 frame_counter = cpi->svc.current_superframe;
140 if (!ne->enabled || frame_counter % frame_period != 0 ||
141 last_source == NULL ||
142 (cpi->svc.number_spatial_layers == 1 &&
143 (ne->last_w != cm->width || ne->last_h != cm->height))) {
144#if CONFIG_AV1_TEMPORAL_DENOISING
145 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
146 copy_frame(&cpi->denoiser.last_source, cpi->source);
147#endif
148 if (last_source != NULL) {
149 ne->last_w = cm->width;
150 ne->last_h = cm->height;
151 }
152 return;
153 } else if (frame_counter > 60 && cpi->svc.num_encoded_top_layer > 1 &&
154 cpi->rc.frames_since_key > cpi->svc.number_spatial_layers &&
155 cpi->svc.spatial_layer_id == cpi->svc.number_spatial_layers - 1 &&
156 cpi->rc.avg_frame_low_motion < (low_res ? 60 : 40)) {
157 // Force noise estimation to 0 and denoiser off if content has high motion.
158 ne->level = kLowLow;
159 ne->count = 0;
160 ne->num_frames_estimate = 10;
161#if CONFIG_AV1_TEMPORAL_DENOISING
162 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi) &&
163 cpi->svc.current_superframe > 1) {
164 av1_denoiser_set_noise_level(cpi, ne->level);
165 copy_frame(&cpi->denoiser.last_source, cpi->source);
166 }
167#endif
168 return;
169 } else {
170 unsigned int bin_size = 100;
171 unsigned int hist[MAX_VAR_HIST_BINS] = { 0 };
172 unsigned int hist_avg[MAX_VAR_HIST_BINS];
173 unsigned int max_bin = 0;
174 unsigned int max_bin_count = 0;
175 unsigned int bin_cnt;
176 int bsize = BLOCK_16X16;
177 // Loop over sub-sample of 16x16 blocks of frame, and for blocks that have
178 // been encoded as zero/small mv at least x consecutive frames, compute
179 // the variance to update estimate of noise in the source.
180 const uint8_t *src_y = cpi->source->y_buffer;
181 const int src_ystride = cpi->source->y_stride;
182 const uint8_t *last_src_y = last_source->y_buffer;
183 const int last_src_ystride = last_source->y_stride;
184 const uint8_t *src_u = cpi->source->u_buffer;
185 const uint8_t *src_v = cpi->source->v_buffer;
186 const int src_uvstride = cpi->source->uv_stride;
187 int mi_row, mi_col;
188 int num_low_motion = 0;
189 int frame_low_motion = 1;
190 for (mi_row = 0; mi_row < mi_params->mi_rows; mi_row += 2) {
191 for (mi_col = 0; mi_col < mi_params->mi_cols; mi_col += 2) {
192 int bl_index =
193 (mi_row >> 1) * (mi_params->mi_cols >> 1) + (mi_col >> 1);
194 if (cpi->consec_zero_mv[bl_index] > thresh_consec_zeromv)
195 num_low_motion++;
196 }
197 }
198 if (num_low_motion <
199 (((3 * (mi_params->mi_rows * mi_params->mi_cols) >> 2)) >> 3))
200 frame_low_motion = 0;
201 for (mi_row = 0; mi_row < mi_params->mi_rows; mi_row++) {
202 for (mi_col = 0; mi_col < mi_params->mi_cols; mi_col++) {
203 // 16x16 blocks, 1/4 sample of frame.
204 if (mi_row % 8 == 0 && mi_col % 8 == 0 &&
205 mi_row < mi_params->mi_rows - 3 &&
206 mi_col < mi_params->mi_cols - 3) {
207 int bl_index =
208 (mi_row >> 1) * (mi_params->mi_cols >> 1) + (mi_col >> 1);
209 int bl_index1 = bl_index + 1;
210 int bl_index2 = bl_index + (mi_params->mi_cols >> 1);
211 int bl_index3 = bl_index2 + 1;
212 int consec_zeromv =
213 AOMMIN(cpi->consec_zero_mv[bl_index],
214 AOMMIN(cpi->consec_zero_mv[bl_index1],
215 AOMMIN(cpi->consec_zero_mv[bl_index2],
216 cpi->consec_zero_mv[bl_index3])));
217 // Only consider blocks that are likely steady background. i.e, have
218 // been encoded as zero/low motion x (= thresh_consec_zeromv) frames
219 // in a row. consec_zero_mv[] defined for 8x8 blocks, so consider all
220 // 4 sub-blocks for 16x16 block. And exclude this frame if
221 // high_source_sad is true (i.e., scene/content change).
222 if (frame_low_motion && consec_zeromv > thresh_consec_zeromv &&
223 !cpi->rc.high_source_sad) {
224 unsigned int sse;
225 // Compute variance between co-located blocks from current and
226 // last input frames.
227 unsigned int variance = cpi->fn_ptr[bsize].vf(
228 src_y, src_ystride, last_src_y, last_src_ystride, &sse);
229 unsigned int hist_index = variance / bin_size;
230 if (hist_index < MAX_VAR_HIST_BINS)
231 hist[hist_index]++;
232 else if (hist_index < 3 * (MAX_VAR_HIST_BINS >> 1))
233 hist[MAX_VAR_HIST_BINS - 1]++; // Account for the tail
234 }
235 }
236 src_y += 4;
237 last_src_y += 4;
238 src_u += 2;
239 src_v += 2;
240 }
241 src_y += (src_ystride << 2) - (mi_params->mi_cols << 2);
242 last_src_y += (last_src_ystride << 2) - (mi_params->mi_cols << 2);
243 src_u += (src_uvstride << 1) - (mi_params->mi_cols << 1);
244 src_v += (src_uvstride << 1) - (mi_params->mi_cols << 1);
245 }
246 ne->last_w = cm->width;
247 ne->last_h = cm->height;
248 // Adjust histogram to account for effect that histogram flattens
249 // and shifts to zero as scene darkens.
250 if (hist[0] > 10 && (hist[MAX_VAR_HIST_BINS - 1] > hist[0] >> 2)) {
251 hist[0] = 0;
252 hist[1] >>= 2;
253 hist[2] >>= 2;
254 hist[3] >>= 2;
255 hist[4] >>= 1;
256 hist[5] >>= 1;
257 hist[6] = 3 * hist[6] >> 1;
258 hist[MAX_VAR_HIST_BINS - 1] >>= 1;
259 }
260
261 // Average hist[] and find largest bin
262 for (bin_cnt = 0; bin_cnt < MAX_VAR_HIST_BINS; bin_cnt++) {
263 if (bin_cnt == 0)
264 hist_avg[bin_cnt] = (hist[0] + hist[1] + hist[2]) / 3;
265 else if (bin_cnt == MAX_VAR_HIST_BINS - 1)
266 hist_avg[bin_cnt] = hist[MAX_VAR_HIST_BINS - 1] >> 2;
267 else if (bin_cnt == MAX_VAR_HIST_BINS - 2)
268 hist_avg[bin_cnt] = (hist[bin_cnt - 1] + 2 * hist[bin_cnt] +
269 (hist[bin_cnt + 1] >> 1) + 2) >>
270 2;
271 else
272 hist_avg[bin_cnt] =
273 (hist[bin_cnt - 1] + 2 * hist[bin_cnt] + hist[bin_cnt + 1] + 2) >>
274 2;
275
276 if (hist_avg[bin_cnt] > max_bin_count) {
277 max_bin_count = hist_avg[bin_cnt];
278 max_bin = bin_cnt;
279 }
280 }
281
282 // Scale by 40 to work with existing thresholds
283 ne->value = (int)((3 * ne->value + max_bin * 40) >> 2);
284 // Quickly increase VNR strength when the noise level increases suddenly.
285 if (ne->level < kMedium && ne->value > ne->adapt_thresh) {
286 ne->count = ne->num_frames_estimate;
287 } else {
288 ne->count++;
289 }
290 if (ne->count == ne->num_frames_estimate) {
291 // Reset counter and check noise level condition.
292 ne->num_frames_estimate = 30;
293 ne->count = 0;
294 ne->level = av1_noise_estimate_extract_level(ne);
295#if CONFIG_AV1_TEMPORAL_DENOISING
296 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
297 av1_denoiser_set_noise_level(cpi, ne->level);
298#endif
299 }
300 }
301#if CONFIG_AV1_TEMPORAL_DENOISING
302 if (cpi->oxcf.noise_sensitivity > 0 && noise_est_svc(cpi))
303 copy_frame(&cpi->denoiser.last_source, cpi->source);
304#endif
305}