Line data Source code
1 : /*
2 : * Copyright (c) 2012 The WebM project authors. All Rights Reserved.
3 : *
4 : * Use of this source code is governed by a BSD-style license
5 : * that can be found in the LICENSE file in the root of the source
6 : * tree. An additional intellectual property rights grant can be found
7 : * in the file PATENTS. All contributing project authors may
8 : * be found in the AUTHORS file in the root of the source tree.
9 : */
10 :
11 : #include <limits.h>
12 :
13 : #include "denoising.h"
14 :
15 : #include "vp8/common/reconinter.h"
16 : #include "vpx/vpx_integer.h"
17 : #include "vpx_mem/vpx_mem.h"
18 : #include "vp8_rtcd.h"
19 :
20 : static const unsigned int NOISE_MOTION_THRESHOLD = 25 * 25;
21 : /* SSE_DIFF_THRESHOLD is selected as ~95% confidence assuming
22 : * var(noise) ~= 100.
23 : */
24 : static const unsigned int SSE_DIFF_THRESHOLD = 16 * 16 * 20;
25 : static const unsigned int SSE_THRESHOLD = 16 * 16 * 40;
26 : static const unsigned int SSE_THRESHOLD_HIGH = 16 * 16 * 80;
27 :
28 : /*
29 : * The filter function was modified to reduce the computational complexity.
30 : * Step 1:
31 : * Instead of applying tap coefficients for each pixel, we calculated the
32 : * pixel adjustments vs. pixel diff value ahead of time.
33 : * adjustment = filtered_value - current_raw
34 : * = (filter_coefficient * diff + 128) >> 8
35 : * where
36 : * filter_coefficient = (255 << 8) / (256 + ((absdiff * 330) >> 3));
37 : * filter_coefficient += filter_coefficient /
38 : * (3 + motion_magnitude_adjustment);
39 : * filter_coefficient is clamped to 0 ~ 255.
40 : *
41 : * Step 2:
42 : * The adjustment vs. diff curve becomes flat very quick when diff increases.
43 : * This allowed us to use only several levels to approximate the curve without
44 : * changing the filtering algorithm too much.
45 : * The adjustments were further corrected by checking the motion magnitude.
46 : * The levels used are:
47 : * diff adjustment w/o motion correction adjustment w/ motion correction
48 : * [-255, -16] -6 -7
49 : * [-15, -8] -4 -5
50 : * [-7, -4] -3 -4
51 : * [-3, 3] diff diff
52 : * [4, 7] 3 4
53 : * [8, 15] 4 5
54 : * [16, 255] 6 7
55 : */
56 :
57 0 : int vp8_denoiser_filter_c(unsigned char *mc_running_avg_y, int mc_avg_y_stride,
58 : unsigned char *running_avg_y, int avg_y_stride,
59 : unsigned char *sig, int sig_stride,
60 : unsigned int motion_magnitude,
61 : int increase_denoising) {
62 0 : unsigned char *running_avg_y_start = running_avg_y;
63 0 : unsigned char *sig_start = sig;
64 : int sum_diff_thresh;
65 : int r, c;
66 0 : int sum_diff = 0;
67 0 : int adj_val[3] = { 3, 4, 6 };
68 0 : int shift_inc1 = 0;
69 0 : int shift_inc2 = 1;
70 0 : int col_sum[16] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
71 : /* If motion_magnitude is small, making the denoiser more aggressive by
72 : * increasing the adjustment for each level. Add another increment for
73 : * blocks that are labeled for increase denoising. */
74 0 : if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) {
75 0 : if (increase_denoising) {
76 0 : shift_inc1 = 1;
77 0 : shift_inc2 = 2;
78 : }
79 0 : adj_val[0] += shift_inc2;
80 0 : adj_val[1] += shift_inc2;
81 0 : adj_val[2] += shift_inc2;
82 : }
83 :
84 0 : for (r = 0; r < 16; ++r) {
85 0 : for (c = 0; c < 16; ++c) {
86 0 : int diff = 0;
87 0 : int adjustment = 0;
88 0 : int absdiff = 0;
89 :
90 0 : diff = mc_running_avg_y[c] - sig[c];
91 0 : absdiff = abs(diff);
92 :
93 : // When |diff| <= |3 + shift_inc1|, use pixel value from
94 : // last denoised raw.
95 0 : if (absdiff <= 3 + shift_inc1) {
96 0 : running_avg_y[c] = mc_running_avg_y[c];
97 0 : col_sum[c] += diff;
98 : } else {
99 0 : if (absdiff >= 4 + shift_inc1 && absdiff <= 7) {
100 0 : adjustment = adj_val[0];
101 0 : } else if (absdiff >= 8 && absdiff <= 15) {
102 0 : adjustment = adj_val[1];
103 : } else {
104 0 : adjustment = adj_val[2];
105 : }
106 :
107 0 : if (diff > 0) {
108 0 : if ((sig[c] + adjustment) > 255) {
109 0 : running_avg_y[c] = 255;
110 : } else {
111 0 : running_avg_y[c] = sig[c] + adjustment;
112 : }
113 :
114 0 : col_sum[c] += adjustment;
115 : } else {
116 0 : if ((sig[c] - adjustment) < 0) {
117 0 : running_avg_y[c] = 0;
118 : } else {
119 0 : running_avg_y[c] = sig[c] - adjustment;
120 : }
121 :
122 0 : col_sum[c] -= adjustment;
123 : }
124 : }
125 : }
126 :
127 : /* Update pointers for next iteration. */
128 0 : sig += sig_stride;
129 0 : mc_running_avg_y += mc_avg_y_stride;
130 0 : running_avg_y += avg_y_stride;
131 : }
132 :
133 0 : for (c = 0; c < 16; ++c) {
134 : // Below we clip the value in the same way which SSE code use.
135 : // When adopting aggressive denoiser, the adj_val for each pixel
136 : // could be at most 8 (this is current max adjustment of the map).
137 : // In SSE code, we calculate the sum of adj_val for
138 : // the columns, so the sum could be upto 128(16 rows). However,
139 : // the range of the value is -128 ~ 127 in SSE code, that's why
140 : // we do this change in C code.
141 : // We don't do this for UV denoiser, since there are only 8 rows,
142 : // and max adjustments <= 8, so the sum of the columns will not
143 : // exceed 64.
144 0 : if (col_sum[c] >= 128) {
145 0 : col_sum[c] = 127;
146 : }
147 0 : sum_diff += col_sum[c];
148 : }
149 :
150 0 : sum_diff_thresh = SUM_DIFF_THRESHOLD;
151 0 : if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH;
152 0 : if (abs(sum_diff) > sum_diff_thresh) {
153 : // Before returning to copy the block (i.e., apply no denoising), check
154 : // if we can still apply some (weaker) temporal filtering to this block,
155 : // that would otherwise not be denoised at all. Simplest is to apply
156 : // an additional adjustment to running_avg_y to bring it closer to sig.
157 : // The adjustment is capped by a maximum delta, and chosen such that
158 : // in most cases the resulting sum_diff will be within the
159 : // accceptable range given by sum_diff_thresh.
160 :
161 : // The delta is set by the excess of absolute pixel diff over threshold.
162 0 : int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1;
163 : // Only apply the adjustment for max delta up to 3.
164 0 : if (delta < 4) {
165 0 : sig -= sig_stride * 16;
166 0 : mc_running_avg_y -= mc_avg_y_stride * 16;
167 0 : running_avg_y -= avg_y_stride * 16;
168 0 : for (r = 0; r < 16; ++r) {
169 0 : for (c = 0; c < 16; ++c) {
170 0 : int diff = mc_running_avg_y[c] - sig[c];
171 0 : int adjustment = abs(diff);
172 0 : if (adjustment > delta) adjustment = delta;
173 0 : if (diff > 0) {
174 : // Bring denoised signal down.
175 0 : if (running_avg_y[c] - adjustment < 0) {
176 0 : running_avg_y[c] = 0;
177 : } else {
178 0 : running_avg_y[c] = running_avg_y[c] - adjustment;
179 : }
180 0 : col_sum[c] -= adjustment;
181 0 : } else if (diff < 0) {
182 : // Bring denoised signal up.
183 0 : if (running_avg_y[c] + adjustment > 255) {
184 0 : running_avg_y[c] = 255;
185 : } else {
186 0 : running_avg_y[c] = running_avg_y[c] + adjustment;
187 : }
188 0 : col_sum[c] += adjustment;
189 : }
190 : }
191 : // TODO(marpan): Check here if abs(sum_diff) has gone below the
192 : // threshold sum_diff_thresh, and if so, we can exit the row loop.
193 0 : sig += sig_stride;
194 0 : mc_running_avg_y += mc_avg_y_stride;
195 0 : running_avg_y += avg_y_stride;
196 : }
197 :
198 0 : sum_diff = 0;
199 0 : for (c = 0; c < 16; ++c) {
200 0 : if (col_sum[c] >= 128) {
201 0 : col_sum[c] = 127;
202 : }
203 0 : sum_diff += col_sum[c];
204 : }
205 :
206 0 : if (abs(sum_diff) > sum_diff_thresh) return COPY_BLOCK;
207 : } else {
208 0 : return COPY_BLOCK;
209 : }
210 : }
211 :
212 0 : vp8_copy_mem16x16(running_avg_y_start, avg_y_stride, sig_start, sig_stride);
213 0 : return FILTER_BLOCK;
214 : }
215 :
216 0 : int vp8_denoiser_filter_uv_c(unsigned char *mc_running_avg_uv,
217 : int mc_avg_uv_stride,
218 : unsigned char *running_avg_uv, int avg_uv_stride,
219 : unsigned char *sig, int sig_stride,
220 : unsigned int motion_magnitude,
221 : int increase_denoising) {
222 0 : unsigned char *running_avg_uv_start = running_avg_uv;
223 0 : unsigned char *sig_start = sig;
224 : int sum_diff_thresh;
225 : int r, c;
226 0 : int sum_diff = 0;
227 0 : int sum_block = 0;
228 0 : int adj_val[3] = { 3, 4, 6 };
229 0 : int shift_inc1 = 0;
230 0 : int shift_inc2 = 1;
231 : /* If motion_magnitude is small, making the denoiser more aggressive by
232 : * increasing the adjustment for each level. Add another increment for
233 : * blocks that are labeled for increase denoising. */
234 0 : if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD_UV) {
235 0 : if (increase_denoising) {
236 0 : shift_inc1 = 1;
237 0 : shift_inc2 = 2;
238 : }
239 0 : adj_val[0] += shift_inc2;
240 0 : adj_val[1] += shift_inc2;
241 0 : adj_val[2] += shift_inc2;
242 : }
243 :
244 : // Avoid denoising color signal if its close to average level.
245 0 : for (r = 0; r < 8; ++r) {
246 0 : for (c = 0; c < 8; ++c) {
247 0 : sum_block += sig[c];
248 : }
249 0 : sig += sig_stride;
250 : }
251 0 : if (abs(sum_block - (128 * 8 * 8)) < SUM_DIFF_FROM_AVG_THRESH_UV) {
252 0 : return COPY_BLOCK;
253 : }
254 :
255 0 : sig -= sig_stride * 8;
256 0 : for (r = 0; r < 8; ++r) {
257 0 : for (c = 0; c < 8; ++c) {
258 0 : int diff = 0;
259 0 : int adjustment = 0;
260 0 : int absdiff = 0;
261 :
262 0 : diff = mc_running_avg_uv[c] - sig[c];
263 0 : absdiff = abs(diff);
264 :
265 : // When |diff| <= |3 + shift_inc1|, use pixel value from
266 : // last denoised raw.
267 0 : if (absdiff <= 3 + shift_inc1) {
268 0 : running_avg_uv[c] = mc_running_avg_uv[c];
269 0 : sum_diff += diff;
270 : } else {
271 0 : if (absdiff >= 4 && absdiff <= 7) {
272 0 : adjustment = adj_val[0];
273 0 : } else if (absdiff >= 8 && absdiff <= 15) {
274 0 : adjustment = adj_val[1];
275 : } else {
276 0 : adjustment = adj_val[2];
277 : }
278 0 : if (diff > 0) {
279 0 : if ((sig[c] + adjustment) > 255) {
280 0 : running_avg_uv[c] = 255;
281 : } else {
282 0 : running_avg_uv[c] = sig[c] + adjustment;
283 : }
284 0 : sum_diff += adjustment;
285 : } else {
286 0 : if ((sig[c] - adjustment) < 0) {
287 0 : running_avg_uv[c] = 0;
288 : } else {
289 0 : running_avg_uv[c] = sig[c] - adjustment;
290 : }
291 0 : sum_diff -= adjustment;
292 : }
293 : }
294 : }
295 : /* Update pointers for next iteration. */
296 0 : sig += sig_stride;
297 0 : mc_running_avg_uv += mc_avg_uv_stride;
298 0 : running_avg_uv += avg_uv_stride;
299 : }
300 :
301 0 : sum_diff_thresh = SUM_DIFF_THRESHOLD_UV;
302 0 : if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH_UV;
303 0 : if (abs(sum_diff) > sum_diff_thresh) {
304 : // Before returning to copy the block (i.e., apply no denoising), check
305 : // if we can still apply some (weaker) temporal filtering to this block,
306 : // that would otherwise not be denoised at all. Simplest is to apply
307 : // an additional adjustment to running_avg_y to bring it closer to sig.
308 : // The adjustment is capped by a maximum delta, and chosen such that
309 : // in most cases the resulting sum_diff will be within the
310 : // accceptable range given by sum_diff_thresh.
311 :
312 : // The delta is set by the excess of absolute pixel diff over threshold.
313 0 : int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1;
314 : // Only apply the adjustment for max delta up to 3.
315 0 : if (delta < 4) {
316 0 : sig -= sig_stride * 8;
317 0 : mc_running_avg_uv -= mc_avg_uv_stride * 8;
318 0 : running_avg_uv -= avg_uv_stride * 8;
319 0 : for (r = 0; r < 8; ++r) {
320 0 : for (c = 0; c < 8; ++c) {
321 0 : int diff = mc_running_avg_uv[c] - sig[c];
322 0 : int adjustment = abs(diff);
323 0 : if (adjustment > delta) adjustment = delta;
324 0 : if (diff > 0) {
325 : // Bring denoised signal down.
326 0 : if (running_avg_uv[c] - adjustment < 0) {
327 0 : running_avg_uv[c] = 0;
328 : } else {
329 0 : running_avg_uv[c] = running_avg_uv[c] - adjustment;
330 : }
331 0 : sum_diff -= adjustment;
332 0 : } else if (diff < 0) {
333 : // Bring denoised signal up.
334 0 : if (running_avg_uv[c] + adjustment > 255) {
335 0 : running_avg_uv[c] = 255;
336 : } else {
337 0 : running_avg_uv[c] = running_avg_uv[c] + adjustment;
338 : }
339 0 : sum_diff += adjustment;
340 : }
341 : }
342 : // TODO(marpan): Check here if abs(sum_diff) has gone below the
343 : // threshold sum_diff_thresh, and if so, we can exit the row loop.
344 0 : sig += sig_stride;
345 0 : mc_running_avg_uv += mc_avg_uv_stride;
346 0 : running_avg_uv += avg_uv_stride;
347 : }
348 0 : if (abs(sum_diff) > sum_diff_thresh) return COPY_BLOCK;
349 : } else {
350 0 : return COPY_BLOCK;
351 : }
352 : }
353 :
354 0 : vp8_copy_mem8x8(running_avg_uv_start, avg_uv_stride, sig_start, sig_stride);
355 0 : return FILTER_BLOCK;
356 : }
357 :
358 0 : void vp8_denoiser_set_parameters(VP8_DENOISER *denoiser, int mode) {
359 0 : assert(mode > 0); // Denoiser is allocated only if mode > 0.
360 0 : if (mode == 1) {
361 0 : denoiser->denoiser_mode = kDenoiserOnYOnly;
362 0 : } else if (mode == 2) {
363 0 : denoiser->denoiser_mode = kDenoiserOnYUV;
364 0 : } else if (mode == 3) {
365 0 : denoiser->denoiser_mode = kDenoiserOnYUVAggressive;
366 : } else {
367 0 : denoiser->denoiser_mode = kDenoiserOnYUV;
368 : }
369 0 : if (denoiser->denoiser_mode != kDenoiserOnYUVAggressive) {
370 0 : denoiser->denoise_pars.scale_sse_thresh = 1;
371 0 : denoiser->denoise_pars.scale_motion_thresh = 8;
372 0 : denoiser->denoise_pars.scale_increase_filter = 0;
373 0 : denoiser->denoise_pars.denoise_mv_bias = 95;
374 0 : denoiser->denoise_pars.pickmode_mv_bias = 100;
375 0 : denoiser->denoise_pars.qp_thresh = 0;
376 0 : denoiser->denoise_pars.consec_zerolast = UINT_MAX;
377 0 : denoiser->denoise_pars.spatial_blur = 0;
378 : } else {
379 0 : denoiser->denoise_pars.scale_sse_thresh = 2;
380 0 : denoiser->denoise_pars.scale_motion_thresh = 16;
381 0 : denoiser->denoise_pars.scale_increase_filter = 1;
382 0 : denoiser->denoise_pars.denoise_mv_bias = 60;
383 0 : denoiser->denoise_pars.pickmode_mv_bias = 75;
384 0 : denoiser->denoise_pars.qp_thresh = 80;
385 0 : denoiser->denoise_pars.consec_zerolast = 15;
386 0 : denoiser->denoise_pars.spatial_blur = 0;
387 : }
388 0 : }
389 :
390 0 : int vp8_denoiser_allocate(VP8_DENOISER *denoiser, int width, int height,
391 : int num_mb_rows, int num_mb_cols, int mode) {
392 : int i;
393 0 : assert(denoiser);
394 0 : denoiser->num_mb_cols = num_mb_cols;
395 :
396 0 : for (i = 0; i < MAX_REF_FRAMES; ++i) {
397 0 : denoiser->yv12_running_avg[i].flags = 0;
398 :
399 0 : if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg[i]), width,
400 : height, VP8BORDERINPIXELS) < 0) {
401 0 : vp8_denoiser_free(denoiser);
402 0 : return 1;
403 : }
404 0 : memset(denoiser->yv12_running_avg[i].buffer_alloc, 0,
405 0 : denoiser->yv12_running_avg[i].frame_size);
406 : }
407 0 : denoiser->yv12_mc_running_avg.flags = 0;
408 :
409 0 : if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width,
410 : height, VP8BORDERINPIXELS) < 0) {
411 0 : vp8_denoiser_free(denoiser);
412 0 : return 1;
413 : }
414 :
415 0 : memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0,
416 0 : denoiser->yv12_mc_running_avg.frame_size);
417 :
418 0 : if (vp8_yv12_alloc_frame_buffer(&denoiser->yv12_last_source, width, height,
419 : VP8BORDERINPIXELS) < 0) {
420 0 : vp8_denoiser_free(denoiser);
421 0 : return 1;
422 : }
423 0 : memset(denoiser->yv12_last_source.buffer_alloc, 0,
424 0 : denoiser->yv12_last_source.frame_size);
425 :
426 0 : denoiser->denoise_state = vpx_calloc((num_mb_rows * num_mb_cols), 1);
427 0 : if (!denoiser->denoise_state) {
428 0 : vp8_denoiser_free(denoiser);
429 0 : return 1;
430 : }
431 0 : memset(denoiser->denoise_state, 0, (num_mb_rows * num_mb_cols));
432 0 : vp8_denoiser_set_parameters(denoiser, mode);
433 0 : denoiser->nmse_source_diff = 0;
434 0 : denoiser->nmse_source_diff_count = 0;
435 0 : denoiser->qp_avg = 0;
436 : // QP threshold below which we can go up to aggressive mode.
437 0 : denoiser->qp_threshold_up = 80;
438 : // QP threshold above which we can go back down to normal mode.
439 : // For now keep this second threshold high, so not used currently.
440 0 : denoiser->qp_threshold_down = 128;
441 : // Bitrate thresholds and noise metric (nmse) thresholds for switching to
442 : // aggressive mode.
443 : // TODO(marpan): Adjust thresholds, including effect on resolution.
444 0 : denoiser->bitrate_threshold = 400000; // (bits/sec).
445 0 : denoiser->threshold_aggressive_mode = 80;
446 0 : if (width * height > 1280 * 720) {
447 0 : denoiser->bitrate_threshold = 3000000;
448 0 : denoiser->threshold_aggressive_mode = 200;
449 0 : } else if (width * height > 960 * 540) {
450 0 : denoiser->bitrate_threshold = 1200000;
451 0 : denoiser->threshold_aggressive_mode = 120;
452 0 : } else if (width * height > 640 * 480) {
453 0 : denoiser->bitrate_threshold = 600000;
454 0 : denoiser->threshold_aggressive_mode = 100;
455 : }
456 0 : return 0;
457 : }
458 :
459 0 : void vp8_denoiser_free(VP8_DENOISER *denoiser) {
460 : int i;
461 0 : assert(denoiser);
462 :
463 0 : for (i = 0; i < MAX_REF_FRAMES; ++i) {
464 0 : vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg[i]);
465 : }
466 0 : vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg);
467 0 : vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_last_source);
468 0 : vpx_free(denoiser->denoise_state);
469 0 : }
470 :
471 0 : void vp8_denoiser_denoise_mb(VP8_DENOISER *denoiser, MACROBLOCK *x,
472 : unsigned int best_sse, unsigned int zero_mv_sse,
473 : int recon_yoffset, int recon_uvoffset,
474 : loop_filter_info_n *lfi_n, int mb_row, int mb_col,
475 : int block_index, int consec_zero_last)
476 :
477 : {
478 : int mv_row;
479 : int mv_col;
480 : unsigned int motion_threshold;
481 : unsigned int motion_magnitude2;
482 : unsigned int sse_thresh;
483 0 : int sse_diff_thresh = 0;
484 : // Spatial loop filter: only applied selectively based on
485 : // temporal filter state of block relative to top/left neighbors.
486 0 : int apply_spatial_loop_filter = 1;
487 0 : MV_REFERENCE_FRAME frame = x->best_reference_frame;
488 0 : MV_REFERENCE_FRAME zero_frame = x->best_zeromv_reference_frame;
489 :
490 0 : enum vp8_denoiser_decision decision = FILTER_BLOCK;
491 0 : enum vp8_denoiser_decision decision_u = COPY_BLOCK;
492 0 : enum vp8_denoiser_decision decision_v = COPY_BLOCK;
493 :
494 0 : if (zero_frame) {
495 0 : YV12_BUFFER_CONFIG *src = &denoiser->yv12_running_avg[frame];
496 0 : YV12_BUFFER_CONFIG *dst = &denoiser->yv12_mc_running_avg;
497 : YV12_BUFFER_CONFIG saved_pre, saved_dst;
498 : MB_MODE_INFO saved_mbmi;
499 0 : MACROBLOCKD *filter_xd = &x->e_mbd;
500 0 : MB_MODE_INFO *mbmi = &filter_xd->mode_info_context->mbmi;
501 0 : int sse_diff = 0;
502 : // Bias on zero motion vector sse.
503 0 : const int zero_bias = denoiser->denoise_pars.denoise_mv_bias;
504 0 : zero_mv_sse = (unsigned int)((int64_t)zero_mv_sse * zero_bias / 100);
505 0 : sse_diff = (int)zero_mv_sse - (int)best_sse;
506 :
507 0 : saved_mbmi = *mbmi;
508 :
509 : /* Use the best MV for the compensation. */
510 0 : mbmi->ref_frame = x->best_reference_frame;
511 0 : mbmi->mode = x->best_sse_inter_mode;
512 0 : mbmi->mv = x->best_sse_mv;
513 0 : mbmi->need_to_clamp_mvs = x->need_to_clamp_best_mvs;
514 0 : mv_col = x->best_sse_mv.as_mv.col;
515 0 : mv_row = x->best_sse_mv.as_mv.row;
516 : // Bias to zero_mv if small amount of motion.
517 : // Note sse_diff_thresh is intialized to zero, so this ensures
518 : // we will always choose zero_mv for denoising if
519 : // zero_mv_see <= best_sse (i.e., sse_diff <= 0).
520 0 : if ((unsigned int)(mv_row * mv_row + mv_col * mv_col) <=
521 : NOISE_MOTION_THRESHOLD) {
522 0 : sse_diff_thresh = (int)SSE_DIFF_THRESHOLD;
523 : }
524 :
525 0 : if (frame == INTRA_FRAME || sse_diff <= sse_diff_thresh) {
526 : /*
527 : * Handle intra blocks as referring to last frame with zero motion
528 : * and let the absolute pixel difference affect the filter factor.
529 : * Also consider small amount of motion as being random walk due
530 : * to noise, if it doesn't mean that we get a much bigger error.
531 : * Note that any changes to the mode info only affects the
532 : * denoising.
533 : */
534 0 : x->denoise_zeromv = 1;
535 0 : mbmi->ref_frame = x->best_zeromv_reference_frame;
536 :
537 0 : src = &denoiser->yv12_running_avg[zero_frame];
538 :
539 0 : mbmi->mode = ZEROMV;
540 0 : mbmi->mv.as_int = 0;
541 0 : x->best_sse_inter_mode = ZEROMV;
542 0 : x->best_sse_mv.as_int = 0;
543 0 : best_sse = zero_mv_sse;
544 : }
545 :
546 0 : mv_row = x->best_sse_mv.as_mv.row;
547 0 : mv_col = x->best_sse_mv.as_mv.col;
548 0 : motion_magnitude2 = mv_row * mv_row + mv_col * mv_col;
549 0 : motion_threshold =
550 0 : denoiser->denoise_pars.scale_motion_thresh * NOISE_MOTION_THRESHOLD;
551 :
552 0 : if (motion_magnitude2 <
553 0 : denoiser->denoise_pars.scale_increase_filter * NOISE_MOTION_THRESHOLD) {
554 0 : x->increase_denoising = 1;
555 : }
556 :
557 0 : sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD;
558 0 : if (x->increase_denoising) {
559 0 : sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD_HIGH;
560 : }
561 :
562 0 : if (best_sse > sse_thresh || motion_magnitude2 > motion_threshold) {
563 0 : decision = COPY_BLOCK;
564 : }
565 :
566 : // If block is considered skin, don't denoise if the block
567 : // (1) is selected as non-zero motion for current frame, or
568 : // (2) has not been selected as ZERO_LAST mode at least x past frames
569 : // in a row.
570 : // TODO(marpan): Parameter "x" should be varied with framerate.
571 : // In particualar, should be reduced for layers (base layer/LAST).
572 0 : if (x->is_skin && (consec_zero_last < 2 || motion_magnitude2 > 0)) {
573 0 : decision = COPY_BLOCK;
574 : }
575 :
576 0 : if (decision == FILTER_BLOCK) {
577 0 : saved_pre = filter_xd->pre;
578 0 : saved_dst = filter_xd->dst;
579 :
580 : /* Compensate the running average. */
581 0 : filter_xd->pre.y_buffer = src->y_buffer + recon_yoffset;
582 0 : filter_xd->pre.u_buffer = src->u_buffer + recon_uvoffset;
583 0 : filter_xd->pre.v_buffer = src->v_buffer + recon_uvoffset;
584 : /* Write the compensated running average to the destination buffer. */
585 0 : filter_xd->dst.y_buffer = dst->y_buffer + recon_yoffset;
586 0 : filter_xd->dst.u_buffer = dst->u_buffer + recon_uvoffset;
587 0 : filter_xd->dst.v_buffer = dst->v_buffer + recon_uvoffset;
588 :
589 0 : if (!x->skip) {
590 0 : vp8_build_inter_predictors_mb(filter_xd);
591 : } else {
592 0 : vp8_build_inter16x16_predictors_mb(
593 0 : filter_xd, filter_xd->dst.y_buffer, filter_xd->dst.u_buffer,
594 0 : filter_xd->dst.v_buffer, filter_xd->dst.y_stride,
595 : filter_xd->dst.uv_stride);
596 : }
597 0 : filter_xd->pre = saved_pre;
598 0 : filter_xd->dst = saved_dst;
599 0 : *mbmi = saved_mbmi;
600 : }
601 : } else {
602 : // zero_frame should always be 1 for real-time mode, as the
603 : // ZEROMV mode is always checked, so we should never go into this branch.
604 : // If case ZEROMV is not checked, then we will force no denoise (COPY).
605 0 : decision = COPY_BLOCK;
606 : }
607 :
608 0 : if (decision == FILTER_BLOCK) {
609 0 : unsigned char *mc_running_avg_y =
610 0 : denoiser->yv12_mc_running_avg.y_buffer + recon_yoffset;
611 0 : int mc_avg_y_stride = denoiser->yv12_mc_running_avg.y_stride;
612 0 : unsigned char *running_avg_y =
613 0 : denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset;
614 0 : int avg_y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride;
615 :
616 : /* Filter. */
617 0 : decision = vp8_denoiser_filter(mc_running_avg_y, mc_avg_y_stride,
618 0 : running_avg_y, avg_y_stride, x->thismb, 16,
619 : motion_magnitude2, x->increase_denoising);
620 0 : denoiser->denoise_state[block_index] =
621 : motion_magnitude2 > 0 ? kFilterNonZeroMV : kFilterZeroMV;
622 : // Only denoise UV for zero motion, and if y channel was denoised.
623 0 : if (denoiser->denoiser_mode != kDenoiserOnYOnly && motion_magnitude2 == 0 &&
624 : decision == FILTER_BLOCK) {
625 0 : unsigned char *mc_running_avg_u =
626 0 : denoiser->yv12_mc_running_avg.u_buffer + recon_uvoffset;
627 0 : unsigned char *running_avg_u =
628 0 : denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset;
629 0 : unsigned char *mc_running_avg_v =
630 0 : denoiser->yv12_mc_running_avg.v_buffer + recon_uvoffset;
631 0 : unsigned char *running_avg_v =
632 0 : denoiser->yv12_running_avg[INTRA_FRAME].v_buffer + recon_uvoffset;
633 0 : int mc_avg_uv_stride = denoiser->yv12_mc_running_avg.uv_stride;
634 0 : int avg_uv_stride = denoiser->yv12_running_avg[INTRA_FRAME].uv_stride;
635 0 : int signal_stride = x->block[16].src_stride;
636 0 : decision_u = vp8_denoiser_filter_uv(
637 : mc_running_avg_u, mc_avg_uv_stride, running_avg_u, avg_uv_stride,
638 0 : x->block[16].src + *x->block[16].base_src, signal_stride,
639 : motion_magnitude2, 0);
640 0 : decision_v = vp8_denoiser_filter_uv(
641 : mc_running_avg_v, mc_avg_uv_stride, running_avg_v, avg_uv_stride,
642 0 : x->block[20].src + *x->block[20].base_src, signal_stride,
643 : motion_magnitude2, 0);
644 : }
645 : }
646 0 : if (decision == COPY_BLOCK) {
647 : /* No filtering of this block; it differs too much from the predictor,
648 : * or the motion vector magnitude is considered too big.
649 : */
650 0 : x->denoise_zeromv = 0;
651 0 : vp8_copy_mem16x16(
652 0 : x->thismb, 16,
653 0 : denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
654 : denoiser->yv12_running_avg[INTRA_FRAME].y_stride);
655 0 : denoiser->denoise_state[block_index] = kNoFilter;
656 : }
657 0 : if (denoiser->denoiser_mode != kDenoiserOnYOnly) {
658 0 : if (decision_u == COPY_BLOCK) {
659 0 : vp8_copy_mem8x8(
660 0 : x->block[16].src + *x->block[16].base_src, x->block[16].src_stride,
661 0 : denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset,
662 : denoiser->yv12_running_avg[INTRA_FRAME].uv_stride);
663 : }
664 0 : if (decision_v == COPY_BLOCK) {
665 0 : vp8_copy_mem8x8(
666 0 : x->block[20].src + *x->block[20].base_src, x->block[16].src_stride,
667 0 : denoiser->yv12_running_avg[INTRA_FRAME].v_buffer + recon_uvoffset,
668 : denoiser->yv12_running_avg[INTRA_FRAME].uv_stride);
669 : }
670 : }
671 : // Option to selectively deblock the denoised signal, for y channel only.
672 0 : if (apply_spatial_loop_filter) {
673 : loop_filter_info lfi;
674 0 : int apply_filter_col = 0;
675 0 : int apply_filter_row = 0;
676 0 : int apply_filter = 0;
677 0 : int y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride;
678 0 : int uv_stride = denoiser->yv12_running_avg[INTRA_FRAME].uv_stride;
679 :
680 : // Fix filter level to some nominal value for now.
681 0 : int filter_level = 48;
682 :
683 0 : int hev_index = lfi_n->hev_thr_lut[INTER_FRAME][filter_level];
684 0 : lfi.mblim = lfi_n->mblim[filter_level];
685 0 : lfi.blim = lfi_n->blim[filter_level];
686 0 : lfi.lim = lfi_n->lim[filter_level];
687 0 : lfi.hev_thr = lfi_n->hev_thr[hev_index];
688 :
689 : // Apply filter if there is a difference in the denoiser filter state
690 : // between the current and left/top block, or if non-zero motion vector
691 : // is used for the motion-compensated filtering.
692 0 : if (mb_col > 0) {
693 0 : apply_filter_col =
694 0 : !((denoiser->denoise_state[block_index] ==
695 0 : denoiser->denoise_state[block_index - 1]) &&
696 0 : denoiser->denoise_state[block_index] != kFilterNonZeroMV);
697 0 : if (apply_filter_col) {
698 : // Filter left vertical edge.
699 0 : apply_filter = 1;
700 0 : vp8_loop_filter_mbv(
701 0 : denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
702 : NULL, NULL, y_stride, uv_stride, &lfi);
703 : }
704 : }
705 0 : if (mb_row > 0) {
706 0 : apply_filter_row =
707 0 : !((denoiser->denoise_state[block_index] ==
708 0 : denoiser->denoise_state[block_index - denoiser->num_mb_cols]) &&
709 0 : denoiser->denoise_state[block_index] != kFilterNonZeroMV);
710 0 : if (apply_filter_row) {
711 : // Filter top horizontal edge.
712 0 : apply_filter = 1;
713 0 : vp8_loop_filter_mbh(
714 0 : denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
715 : NULL, NULL, y_stride, uv_stride, &lfi);
716 : }
717 : }
718 0 : if (apply_filter) {
719 : // Update the signal block |x|. Pixel changes are only to top and/or
720 : // left boundary pixels: can we avoid full block copy here.
721 0 : vp8_copy_mem16x16(
722 0 : denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset,
723 0 : y_stride, x->thismb, 16);
724 : }
725 : }
726 0 : }
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