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 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 unsigned char *running_avg_y_start = running_avg_y; 63 unsigned char *sig_start = sig; 64 int sum_diff_thresh; 65 int r, c; 66 int sum_diff = 0; 67 int adj_val[3] = { 3, 4, 6 }; 68 int shift_inc1 = 0; 69 int shift_inc2 = 1; 70 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 if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD) { 75 if (increase_denoising) { 76 shift_inc1 = 1; 77 shift_inc2 = 2; 78 } 79 adj_val[0] += shift_inc2; 80 adj_val[1] += shift_inc2; 81 adj_val[2] += shift_inc2; 82 } 83 84 for (r = 0; r < 16; ++r) { 85 for (c = 0; c < 16; ++c) { 86 int diff = 0; 87 int adjustment = 0; 88 int absdiff = 0; 89 90 diff = mc_running_avg_y[c] - sig[c]; 91 absdiff = abs(diff); 92 93 // When |diff| <= |3 + shift_inc1|, use pixel value from 94 // last denoised raw. 95 if (absdiff <= 3 + shift_inc1) { 96 running_avg_y[c] = mc_running_avg_y[c]; 97 col_sum[c] += diff; 98 } else { 99 if (absdiff >= 4 + shift_inc1 && absdiff <= 7) { 100 adjustment = adj_val[0]; 101 } else if (absdiff >= 8 && absdiff <= 15) { 102 adjustment = adj_val[1]; 103 } else { 104 adjustment = adj_val[2]; 105 } 106 107 if (diff > 0) { 108 if ((sig[c] + adjustment) > 255) { 109 running_avg_y[c] = 255; 110 } else { 111 running_avg_y[c] = sig[c] + adjustment; 112 } 113 114 col_sum[c] += adjustment; 115 } else { 116 if ((sig[c] - adjustment) < 0) { 117 running_avg_y[c] = 0; 118 } else { 119 running_avg_y[c] = sig[c] - adjustment; 120 } 121 122 col_sum[c] -= adjustment; 123 } 124 } 125 } 126 127 /* Update pointers for next iteration. */ 128 sig += sig_stride; 129 mc_running_avg_y += mc_avg_y_stride; 130 running_avg_y += avg_y_stride; 131 } 132 133 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 if (col_sum[c] >= 128) { 145 col_sum[c] = 127; 146 } 147 sum_diff += col_sum[c]; 148 } 149 150 sum_diff_thresh = SUM_DIFF_THRESHOLD; 151 if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH; 152 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 int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1; 163 // Only apply the adjustment for max delta up to 3. 164 if (delta < 4) { 165 sig -= sig_stride * 16; 166 mc_running_avg_y -= mc_avg_y_stride * 16; 167 running_avg_y -= avg_y_stride * 16; 168 for (r = 0; r < 16; ++r) { 169 for (c = 0; c < 16; ++c) { 170 int diff = mc_running_avg_y[c] - sig[c]; 171 int adjustment = abs(diff); 172 if (adjustment > delta) adjustment = delta; 173 if (diff > 0) { 174 // Bring denoised signal down. 175 if (running_avg_y[c] - adjustment < 0) { 176 running_avg_y[c] = 0; 177 } else { 178 running_avg_y[c] = running_avg_y[c] - adjustment; 179 } 180 col_sum[c] -= adjustment; 181 } else if (diff < 0) { 182 // Bring denoised signal up. 183 if (running_avg_y[c] + adjustment > 255) { 184 running_avg_y[c] = 255; 185 } else { 186 running_avg_y[c] = running_avg_y[c] + adjustment; 187 } 188 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 sig += sig_stride; 194 mc_running_avg_y += mc_avg_y_stride; 195 running_avg_y += avg_y_stride; 196 } 197 198 sum_diff = 0; 199 for (c = 0; c < 16; ++c) { 200 if (col_sum[c] >= 128) { 201 col_sum[c] = 127; 202 } 203 sum_diff += col_sum[c]; 204 } 205 206 if (abs(sum_diff) > sum_diff_thresh) return COPY_BLOCK; 207 } else { 208 return COPY_BLOCK; 209 } 210 } 211 212 vp8_copy_mem16x16(running_avg_y_start, avg_y_stride, sig_start, sig_stride); 213 return FILTER_BLOCK; 214 } 215 216 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 unsigned char *running_avg_uv_start = running_avg_uv; 223 unsigned char *sig_start = sig; 224 int sum_diff_thresh; 225 int r, c; 226 int sum_diff = 0; 227 int sum_block = 0; 228 int adj_val[3] = { 3, 4, 6 }; 229 int shift_inc1 = 0; 230 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 if (motion_magnitude <= MOTION_MAGNITUDE_THRESHOLD_UV) { 235 if (increase_denoising) { 236 shift_inc1 = 1; 237 shift_inc2 = 2; 238 } 239 adj_val[0] += shift_inc2; 240 adj_val[1] += shift_inc2; 241 adj_val[2] += shift_inc2; 242 } 243 244 // Avoid denoising color signal if its close to average level. 245 for (r = 0; r < 8; ++r) { 246 for (c = 0; c < 8; ++c) { 247 sum_block += sig[c]; 248 } 249 sig += sig_stride; 250 } 251 if (abs(sum_block - (128 * 8 * 8)) < SUM_DIFF_FROM_AVG_THRESH_UV) { 252 return COPY_BLOCK; 253 } 254 255 sig -= sig_stride * 8; 256 for (r = 0; r < 8; ++r) { 257 for (c = 0; c < 8; ++c) { 258 int diff = 0; 259 int adjustment = 0; 260 int absdiff = 0; 261 262 diff = mc_running_avg_uv[c] - sig[c]; 263 absdiff = abs(diff); 264 265 // When |diff| <= |3 + shift_inc1|, use pixel value from 266 // last denoised raw. 267 if (absdiff <= 3 + shift_inc1) { 268 running_avg_uv[c] = mc_running_avg_uv[c]; 269 sum_diff += diff; 270 } else { 271 if (absdiff >= 4 && absdiff <= 7) { 272 adjustment = adj_val[0]; 273 } else if (absdiff >= 8 && absdiff <= 15) { 274 adjustment = adj_val[1]; 275 } else { 276 adjustment = adj_val[2]; 277 } 278 if (diff > 0) { 279 if ((sig[c] + adjustment) > 255) { 280 running_avg_uv[c] = 255; 281 } else { 282 running_avg_uv[c] = sig[c] + adjustment; 283 } 284 sum_diff += adjustment; 285 } else { 286 if ((sig[c] - adjustment) < 0) { 287 running_avg_uv[c] = 0; 288 } else { 289 running_avg_uv[c] = sig[c] - adjustment; 290 } 291 sum_diff -= adjustment; 292 } 293 } 294 } 295 /* Update pointers for next iteration. */ 296 sig += sig_stride; 297 mc_running_avg_uv += mc_avg_uv_stride; 298 running_avg_uv += avg_uv_stride; 299 } 300 301 sum_diff_thresh = SUM_DIFF_THRESHOLD_UV; 302 if (increase_denoising) sum_diff_thresh = SUM_DIFF_THRESHOLD_HIGH_UV; 303 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 int delta = ((abs(sum_diff) - sum_diff_thresh) >> 8) + 1; 314 // Only apply the adjustment for max delta up to 3. 315 if (delta < 4) { 316 sig -= sig_stride * 8; 317 mc_running_avg_uv -= mc_avg_uv_stride * 8; 318 running_avg_uv -= avg_uv_stride * 8; 319 for (r = 0; r < 8; ++r) { 320 for (c = 0; c < 8; ++c) { 321 int diff = mc_running_avg_uv[c] - sig[c]; 322 int adjustment = abs(diff); 323 if (adjustment > delta) adjustment = delta; 324 if (diff > 0) { 325 // Bring denoised signal down. 326 if (running_avg_uv[c] - adjustment < 0) { 327 running_avg_uv[c] = 0; 328 } else { 329 running_avg_uv[c] = running_avg_uv[c] - adjustment; 330 } 331 sum_diff -= adjustment; 332 } else if (diff < 0) { 333 // Bring denoised signal up. 334 if (running_avg_uv[c] + adjustment > 255) { 335 running_avg_uv[c] = 255; 336 } else { 337 running_avg_uv[c] = running_avg_uv[c] + adjustment; 338 } 339 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 sig += sig_stride; 345 mc_running_avg_uv += mc_avg_uv_stride; 346 running_avg_uv += avg_uv_stride; 347 } 348 if (abs(sum_diff) > sum_diff_thresh) return COPY_BLOCK; 349 } else { 350 return COPY_BLOCK; 351 } 352 } 353 354 vp8_copy_mem8x8(running_avg_uv_start, avg_uv_stride, sig_start, sig_stride); 355 return FILTER_BLOCK; 356 } 357 358 void vp8_denoiser_set_parameters(VP8_DENOISER *denoiser, int mode) { 359 assert(mode > 0); // Denoiser is allocated only if mode > 0. 360 if (mode == 1) { 361 denoiser->denoiser_mode = kDenoiserOnYOnly; 362 } else if (mode == 2) { 363 denoiser->denoiser_mode = kDenoiserOnYUV; 364 } else if (mode == 3) { 365 denoiser->denoiser_mode = kDenoiserOnYUVAggressive; 366 } else { 367 denoiser->denoiser_mode = kDenoiserOnYUV; 368 } 369 if (denoiser->denoiser_mode != kDenoiserOnYUVAggressive) { 370 denoiser->denoise_pars.scale_sse_thresh = 1; 371 denoiser->denoise_pars.scale_motion_thresh = 8; 372 denoiser->denoise_pars.scale_increase_filter = 0; 373 denoiser->denoise_pars.denoise_mv_bias = 95; 374 denoiser->denoise_pars.pickmode_mv_bias = 100; 375 denoiser->denoise_pars.qp_thresh = 0; 376 denoiser->denoise_pars.consec_zerolast = UINT_MAX; 377 denoiser->denoise_pars.spatial_blur = 0; 378 } else { 379 denoiser->denoise_pars.scale_sse_thresh = 2; 380 denoiser->denoise_pars.scale_motion_thresh = 16; 381 denoiser->denoise_pars.scale_increase_filter = 1; 382 denoiser->denoise_pars.denoise_mv_bias = 60; 383 denoiser->denoise_pars.pickmode_mv_bias = 75; 384 denoiser->denoise_pars.qp_thresh = 80; 385 denoiser->denoise_pars.consec_zerolast = 15; 386 denoiser->denoise_pars.spatial_blur = 0; 387 } 388 } 389 390 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 assert(denoiser); 394 denoiser->num_mb_cols = num_mb_cols; 395 396 for (i = 0; i < MAX_REF_FRAMES; ++i) { 397 denoiser->yv12_running_avg[i].flags = 0; 398 399 if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_running_avg[i]), width, 400 height, VP8BORDERINPIXELS) < 0) { 401 vp8_denoiser_free(denoiser); 402 return 1; 403 } 404 memset(denoiser->yv12_running_avg[i].buffer_alloc, 0, 405 denoiser->yv12_running_avg[i].frame_size); 406 } 407 denoiser->yv12_mc_running_avg.flags = 0; 408 409 if (vp8_yv12_alloc_frame_buffer(&(denoiser->yv12_mc_running_avg), width, 410 height, VP8BORDERINPIXELS) < 0) { 411 vp8_denoiser_free(denoiser); 412 return 1; 413 } 414 415 memset(denoiser->yv12_mc_running_avg.buffer_alloc, 0, 416 denoiser->yv12_mc_running_avg.frame_size); 417 418 if (vp8_yv12_alloc_frame_buffer(&denoiser->yv12_last_source, width, height, 419 VP8BORDERINPIXELS) < 0) { 420 vp8_denoiser_free(denoiser); 421 return 1; 422 } 423 memset(denoiser->yv12_last_source.buffer_alloc, 0, 424 denoiser->yv12_last_source.frame_size); 425 426 denoiser->denoise_state = vpx_calloc((num_mb_rows * num_mb_cols), 1); 427 if (!denoiser->denoise_state) { 428 vp8_denoiser_free(denoiser); 429 return 1; 430 } 431 memset(denoiser->denoise_state, 0, (num_mb_rows * num_mb_cols)); 432 vp8_denoiser_set_parameters(denoiser, mode); 433 denoiser->nmse_source_diff = 0; 434 denoiser->nmse_source_diff_count = 0; 435 denoiser->qp_avg = 0; 436 // QP threshold below which we can go up to aggressive mode. 437 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 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 denoiser->bitrate_threshold = 400000; // (bits/sec). 445 denoiser->threshold_aggressive_mode = 80; 446 if (width * height > 1280 * 720) { 447 denoiser->bitrate_threshold = 3000000; 448 denoiser->threshold_aggressive_mode = 200; 449 } else if (width * height > 960 * 540) { 450 denoiser->bitrate_threshold = 1200000; 451 denoiser->threshold_aggressive_mode = 120; 452 } else if (width * height > 640 * 480) { 453 denoiser->bitrate_threshold = 600000; 454 denoiser->threshold_aggressive_mode = 100; 455 } 456 return 0; 457 } 458 459 void vp8_denoiser_free(VP8_DENOISER *denoiser) { 460 int i; 461 assert(denoiser); 462 463 for (i = 0; i < MAX_REF_FRAMES; ++i) { 464 vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_running_avg[i]); 465 } 466 vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_mc_running_avg); 467 vp8_yv12_de_alloc_frame_buffer(&denoiser->yv12_last_source); 468 vpx_free(denoiser->denoise_state); 469 } 470 471 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 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 int apply_spatial_loop_filter = 1; 487 MV_REFERENCE_FRAME frame = x->best_reference_frame; 488 MV_REFERENCE_FRAME zero_frame = x->best_zeromv_reference_frame; 489 490 enum vp8_denoiser_decision decision = FILTER_BLOCK; 491 enum vp8_denoiser_decision decision_u = COPY_BLOCK; 492 enum vp8_denoiser_decision decision_v = COPY_BLOCK; 493 494 if (zero_frame) { 495 YV12_BUFFER_CONFIG *src = &denoiser->yv12_running_avg[frame]; 496 YV12_BUFFER_CONFIG *dst = &denoiser->yv12_mc_running_avg; 497 YV12_BUFFER_CONFIG saved_pre, saved_dst; 498 MB_MODE_INFO saved_mbmi; 499 MACROBLOCKD *filter_xd = &x->e_mbd; 500 MB_MODE_INFO *mbmi = &filter_xd->mode_info_context->mbmi; 501 int sse_diff = 0; 502 // Bias on zero motion vector sse. 503 const int zero_bias = denoiser->denoise_pars.denoise_mv_bias; 504 zero_mv_sse = (unsigned int)((int64_t)zero_mv_sse * zero_bias / 100); 505 sse_diff = (int)zero_mv_sse - (int)best_sse; 506 507 saved_mbmi = *mbmi; 508 509 /* Use the best MV for the compensation. */ 510 mbmi->ref_frame = x->best_reference_frame; 511 mbmi->mode = x->best_sse_inter_mode; 512 mbmi->mv = x->best_sse_mv; 513 mbmi->need_to_clamp_mvs = x->need_to_clamp_best_mvs; 514 mv_col = x->best_sse_mv.as_mv.col; 515 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 if ((unsigned int)(mv_row * mv_row + mv_col * mv_col) <= 521 NOISE_MOTION_THRESHOLD) { 522 sse_diff_thresh = (int)SSE_DIFF_THRESHOLD; 523 } 524 525 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 x->denoise_zeromv = 1; 535 mbmi->ref_frame = x->best_zeromv_reference_frame; 536 537 src = &denoiser->yv12_running_avg[zero_frame]; 538 539 mbmi->mode = ZEROMV; 540 mbmi->mv.as_int = 0; 541 x->best_sse_inter_mode = ZEROMV; 542 x->best_sse_mv.as_int = 0; 543 best_sse = zero_mv_sse; 544 } 545 546 mv_row = x->best_sse_mv.as_mv.row; 547 mv_col = x->best_sse_mv.as_mv.col; 548 motion_magnitude2 = mv_row * mv_row + mv_col * mv_col; 549 motion_threshold = 550 denoiser->denoise_pars.scale_motion_thresh * NOISE_MOTION_THRESHOLD; 551 552 if (motion_magnitude2 < 553 denoiser->denoise_pars.scale_increase_filter * NOISE_MOTION_THRESHOLD) { 554 x->increase_denoising = 1; 555 } 556 557 sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD; 558 if (x->increase_denoising) { 559 sse_thresh = denoiser->denoise_pars.scale_sse_thresh * SSE_THRESHOLD_HIGH; 560 } 561 562 if (best_sse > sse_thresh || motion_magnitude2 > motion_threshold) { 563 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 if (x->is_skin && (consec_zero_last < 2 || motion_magnitude2 > 0)) { 573 decision = COPY_BLOCK; 574 } 575 576 if (decision == FILTER_BLOCK) { 577 saved_pre = filter_xd->pre; 578 saved_dst = filter_xd->dst; 579 580 /* Compensate the running average. */ 581 filter_xd->pre.y_buffer = src->y_buffer + recon_yoffset; 582 filter_xd->pre.u_buffer = src->u_buffer + recon_uvoffset; 583 filter_xd->pre.v_buffer = src->v_buffer + recon_uvoffset; 584 /* Write the compensated running average to the destination buffer. */ 585 filter_xd->dst.y_buffer = dst->y_buffer + recon_yoffset; 586 filter_xd->dst.u_buffer = dst->u_buffer + recon_uvoffset; 587 filter_xd->dst.v_buffer = dst->v_buffer + recon_uvoffset; 588 589 if (!x->skip) { 590 vp8_build_inter_predictors_mb(filter_xd); 591 } else { 592 vp8_build_inter16x16_predictors_mb( 593 filter_xd, filter_xd->dst.y_buffer, filter_xd->dst.u_buffer, 594 filter_xd->dst.v_buffer, filter_xd->dst.y_stride, 595 filter_xd->dst.uv_stride); 596 } 597 filter_xd->pre = saved_pre; 598 filter_xd->dst = saved_dst; 599 *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 decision = COPY_BLOCK; 606 } 607 608 if (decision == FILTER_BLOCK) { 609 unsigned char *mc_running_avg_y = 610 denoiser->yv12_mc_running_avg.y_buffer + recon_yoffset; 611 int mc_avg_y_stride = denoiser->yv12_mc_running_avg.y_stride; 612 unsigned char *running_avg_y = 613 denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset; 614 int avg_y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride; 615 616 /* Filter. */ 617 decision = vp8_denoiser_filter(mc_running_avg_y, mc_avg_y_stride, 618 running_avg_y, avg_y_stride, x->thismb, 16, 619 motion_magnitude2, x->increase_denoising); 620 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 if (denoiser->denoiser_mode != kDenoiserOnYOnly && motion_magnitude2 == 0 && 624 decision == FILTER_BLOCK) { 625 unsigned char *mc_running_avg_u = 626 denoiser->yv12_mc_running_avg.u_buffer + recon_uvoffset; 627 unsigned char *running_avg_u = 628 denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset; 629 unsigned char *mc_running_avg_v = 630 denoiser->yv12_mc_running_avg.v_buffer + recon_uvoffset; 631 unsigned char *running_avg_v = 632 denoiser->yv12_running_avg[INTRA_FRAME].v_buffer + recon_uvoffset; 633 int mc_avg_uv_stride = denoiser->yv12_mc_running_avg.uv_stride; 634 int avg_uv_stride = denoiser->yv12_running_avg[INTRA_FRAME].uv_stride; 635 int signal_stride = x->block[16].src_stride; 636 decision_u = vp8_denoiser_filter_uv( 637 mc_running_avg_u, mc_avg_uv_stride, running_avg_u, avg_uv_stride, 638 x->block[16].src + *x->block[16].base_src, signal_stride, 639 motion_magnitude2, 0); 640 decision_v = vp8_denoiser_filter_uv( 641 mc_running_avg_v, mc_avg_uv_stride, running_avg_v, avg_uv_stride, 642 x->block[20].src + *x->block[20].base_src, signal_stride, 643 motion_magnitude2, 0); 644 } 645 } 646 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 x->denoise_zeromv = 0; 651 vp8_copy_mem16x16( 652 x->thismb, 16, 653 denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset, 654 denoiser->yv12_running_avg[INTRA_FRAME].y_stride); 655 denoiser->denoise_state[block_index] = kNoFilter; 656 } 657 if (denoiser->denoiser_mode != kDenoiserOnYOnly) { 658 if (decision_u == COPY_BLOCK) { 659 vp8_copy_mem8x8( 660 x->block[16].src + *x->block[16].base_src, x->block[16].src_stride, 661 denoiser->yv12_running_avg[INTRA_FRAME].u_buffer + recon_uvoffset, 662 denoiser->yv12_running_avg[INTRA_FRAME].uv_stride); 663 } 664 if (decision_v == COPY_BLOCK) { 665 vp8_copy_mem8x8( 666 x->block[20].src + *x->block[20].base_src, x->block[16].src_stride, 667 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 if (apply_spatial_loop_filter) { 673 loop_filter_info lfi; 674 int apply_filter_col = 0; 675 int apply_filter_row = 0; 676 int apply_filter = 0; 677 int y_stride = denoiser->yv12_running_avg[INTRA_FRAME].y_stride; 678 int uv_stride = denoiser->yv12_running_avg[INTRA_FRAME].uv_stride; 679 680 // Fix filter level to some nominal value for now. 681 int filter_level = 48; 682 683 int hev_index = lfi_n->hev_thr_lut[INTER_FRAME][filter_level]; 684 lfi.mblim = lfi_n->mblim[filter_level]; 685 lfi.blim = lfi_n->blim[filter_level]; 686 lfi.lim = lfi_n->lim[filter_level]; 687 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 if (mb_col > 0) { 693 apply_filter_col = 694 !((denoiser->denoise_state[block_index] == 695 denoiser->denoise_state[block_index - 1]) && 696 denoiser->denoise_state[block_index] != kFilterNonZeroMV); 697 if (apply_filter_col) { 698 // Filter left vertical edge. 699 apply_filter = 1; 700 vp8_loop_filter_mbv( 701 denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset, 702 NULL, NULL, y_stride, uv_stride, &lfi); 703 } 704 } 705 if (mb_row > 0) { 706 apply_filter_row = 707 !((denoiser->denoise_state[block_index] == 708 denoiser->denoise_state[block_index - denoiser->num_mb_cols]) && 709 denoiser->denoise_state[block_index] != kFilterNonZeroMV); 710 if (apply_filter_row) { 711 // Filter top horizontal edge. 712 apply_filter = 1; 713 vp8_loop_filter_mbh( 714 denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset, 715 NULL, NULL, y_stride, uv_stride, &lfi); 716 } 717 } 718 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 vp8_copy_mem16x16( 722 denoiser->yv12_running_avg[INTRA_FRAME].y_buffer + recon_yoffset, 723 y_stride, x->thismb, 16); 724 } 725 } 726 } 727
