58 uint8_t *dest_cr,
int mb_x,
int mb_y)
61 int dc, dcu, dcv,
y, i;
62 for (i = 0; i < 4; i++) {
63 dc = s->
dc_val[0][mb_x * 2 + (i & 1) + (mb_y * 2 + (i >> 1)) * s->
b8_stride];
68 for (y = 0; y < 8; y++) {
70 for (x = 0; x < 8; x++)
71 dest_y[x + (i & 1) * 8 + (y + (i >> 1) * 8) * linesize[0]] = dc / 8;
84 for (y = 0; y < 8; y++) {
86 for (x = 0; x < 8; x++) {
87 dest_cb[x + y * linesize[1]] = dcu / 8;
88 dest_cr[x + y * linesize[2]] = dcv / 8;
98 for (y = 1; y < height - 1; y++) {
99 int prev_dc = data[0 + y * stride];
101 for (x = 1; x < width - 1; x++) {
104 data[x + y * stride] * 8 -
105 data[x + 1 + y * stride];
106 dc = (dc * 10923 + 32768) >> 16;
107 prev_dc = data[x + y * stride];
108 data[x + y * stride] =
dc;
113 for (x = 1; x < width - 1; x++) {
114 int prev_dc = data[x];
116 for (y = 1; y < height - 1; y++) {
120 data[x + y * stride] * 8 -
121 data[x + (y + 1) * stride];
122 dc = (dc * 10923 + 32768) >> 16;
123 prev_dc = data[x + y * stride];
124 data[x + y * stride] =
dc;
135 int h,
int stride,
int is_luma)
138 int16_t (*col )[4] =
av_malloc(stride*h*
sizeof( int16_t)*4);
139 uint32_t (*dist)[4] =
av_malloc(stride*h*
sizeof(uint32_t)*4);
146 for(b_y=0; b_y<h; b_y++){
149 for(b_x=0; b_x<w; b_x++){
150 int mb_index_j= (b_x>>is_luma) + (b_y>>is_luma)*s->
mb_stride;
154 color= dc[b_x + b_y*stride];
157 col [b_x + b_y*stride][1]=
color;
158 dist[b_x + b_y*stride][1]= distance >= 0 ? b_x-distance : 9999;
162 for(b_x=w-1; b_x>=0; b_x--){
163 int mb_index_j= (b_x>>is_luma) + (b_y>>is_luma)*s->
mb_stride;
167 color= dc[b_x + b_y*stride];
170 col [b_x + b_y*stride][0]=
color;
171 dist[b_x + b_y*stride][0]= distance >= 0 ? distance-b_x : 9999;
174 for(b_x=0; b_x<w; b_x++){
177 for(b_y=0; b_y<h; b_y++){
178 int mb_index_j= (b_x>>is_luma) + (b_y>>is_luma)*s->
mb_stride;
182 color= dc[b_x + b_y*stride];
185 col [b_x + b_y*stride][3]=
color;
186 dist[b_x + b_y*stride][3]= distance >= 0 ? b_y-distance : 9999;
190 for(b_y=h-1; b_y>=0; b_y--){
191 int mb_index_j= (b_x>>is_luma) + (b_y>>is_luma)*s->
mb_stride;
195 color= dc[b_x + b_y*stride];
198 col [b_x + b_y*stride][2]=
color;
199 dist[b_x + b_y*stride][2]= distance >= 0 ? distance-b_y : 9999;
203 for (b_y = 0; b_y < h; b_y++) {
204 for (b_x = 0; b_x < w; b_x++) {
205 int mb_index, error, j;
206 int64_t guess, weight_sum;
207 mb_index = (b_x >> is_luma) + (b_y >> is_luma) * s->
mb_stride;
217 for (j = 0; j < 4; j++) {
218 int64_t
weight = 256 * 256 * 256 * 16 /
FFMAX(dist[b_x + b_y*stride][j], 1);
219 guess += weight*(int64_t)col[b_x + b_y*stride][j];
222 guess = (guess + weight_sum / 2) / weight_sum;
223 dc[b_x + b_y * stride] = guess;
238 int h,
int stride,
int is_luma)
240 int b_x, b_y, mvx_stride, mvy_stride;
243 mvx_stride >>= is_luma;
244 mvy_stride *= mvx_stride;
246 for (b_y = 0; b_y < h; b_y++) {
247 for (b_x = 0; b_x < w - 1; b_x++) {
255 int offset = b_x * 8 + b_y * stride * 8;
256 int16_t *left_mv = s->
cur_pic->
motion_val[0][mvy_stride * b_y + mvx_stride * b_x];
257 int16_t *right_mv = s->
cur_pic->
motion_val[0][mvy_stride * b_y + mvx_stride * (b_x + 1)];
258 if (!(left_damage || right_damage))
260 if ((!left_intra) && (!right_intra) &&
261 FFABS(left_mv[0] - right_mv[0]) +
262 FFABS(left_mv[1] + right_mv[1]) < 2)
265 for (y = 0; y < 8; y++) {
268 a = dst[offset + 7 + y * stride] - dst[offset + 6 + y * stride];
269 b = dst[offset + 8 + y * stride] - dst[offset + 7 + y * stride];
270 c = dst[offset + 9 + y * stride] - dst[offset + 8 + y * stride];
280 if (!(left_damage && right_damage))
284 dst[offset + 7 + y * stride] = cm[dst[offset + 7 + y * stride] + ((d * 7) >> 4)];
285 dst[offset + 6 + y * stride] = cm[dst[offset + 6 + y * stride] + ((d * 5) >> 4)];
286 dst[offset + 5 + y * stride] = cm[dst[offset + 5 + y * stride] + ((d * 3) >> 4)];
287 dst[offset + 4 + y * stride] = cm[dst[offset + 4 + y * stride] + ((d * 1) >> 4)];
290 dst[offset + 8 + y * stride] = cm[dst[offset + 8 + y * stride] - ((d * 7) >> 4)];
291 dst[offset + 9 + y * stride] = cm[dst[offset + 9 + y * stride] - ((d * 5) >> 4)];
292 dst[offset + 10+ y * stride] = cm[dst[offset + 10 + y * stride] - ((d * 3) >> 4)];
293 dst[offset + 11+ y * stride] = cm[dst[offset + 11 + y * stride] - ((d * 1) >> 4)];
308 int b_x, b_y, mvx_stride, mvy_stride;
311 mvx_stride >>= is_luma;
312 mvy_stride *= mvx_stride;
314 for (b_y = 0; b_y < h - 1; b_y++) {
315 for (b_x = 0; b_x < w; b_x++) {
323 int offset = b_x * 8 + b_y * stride * 8;
325 int16_t *top_mv = s->
cur_pic->
motion_val[0][mvy_stride * b_y + mvx_stride * b_x];
326 int16_t *bottom_mv = s->
cur_pic->
motion_val[0][mvy_stride * (b_y + 1) + mvx_stride * b_x];
328 if (!(top_damage || bottom_damage))
331 if ((!top_intra) && (!bottom_intra) &&
332 FFABS(top_mv[0] - bottom_mv[0]) +
333 FFABS(top_mv[1] + bottom_mv[1]) < 2)
336 for (x = 0; x < 8; x++) {
339 a = dst[offset + x + 7 * stride] - dst[offset + x + 6 * stride];
340 b = dst[offset + x + 8 * stride] - dst[offset + x + 7 * stride];
341 c = dst[offset + x + 9 * stride] - dst[offset + x + 8 * stride];
351 if (!(top_damage && bottom_damage))
355 dst[offset + x + 7 * stride] = cm[dst[offset + x + 7 * stride] + ((d * 7) >> 4)];
356 dst[offset + x + 6 * stride] = cm[dst[offset + x + 6 * stride] + ((d * 5) >> 4)];
357 dst[offset + x + 5 * stride] = cm[dst[offset + x + 5 * stride] + ((d * 3) >> 4)];
358 dst[offset + x + 4 * stride] = cm[dst[offset + x + 4 * stride] + ((d * 1) >> 4)];
361 dst[offset + x + 8 * stride] = cm[dst[offset + x + 8 * stride] - ((d * 7) >> 4)];
362 dst[offset + x + 9 * stride] = cm[dst[offset + x + 9 * stride] - ((d * 5) >> 4)];
363 dst[offset + x + 10 * stride] = cm[dst[offset + x + 10 * stride] - ((d * 3) >> 4)];
364 dst[offset + x + 11 * stride] = cm[dst[offset + x + 11 * stride] - ((d * 1) >> 4)];
376 #define MV_UNCHANGED 1
380 int i,
depth, num_avail;
381 int mb_x, mb_y, mot_step, mot_stride;
386 for (i = 0; i < s->
mb_num; i++) {
402 const int mot_index= (mb_x + mb_y*mot_stride) * mot_step;
410 num_avail <= mb_width / 2) {
411 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
412 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
413 const int mb_xy = mb_x + mb_y * s->
mb_stride;
430 for (depth = 0; ; depth++) {
431 int changed,
pass, none_left;
435 for (pass = 0; (changed || pass < 2) && pass < 10; pass++) {
440 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
441 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
442 const int mb_xy = mb_x + mb_y * s->
mb_stride;
443 int mv_predictor[8][2] = { { 0 } };
447 int best_score = 256 * 256 * 256 * 64;
449 const int mot_index = (mb_x + mb_y * mot_stride) * mot_step;
450 int prev_x, prev_y, prev_ref;
452 if ((mb_x ^ mb_y ^ pass) & 1)
461 if (mb_x > 0 && fixed[mb_xy - 1] ==
MV_FROZEN)
463 if (mb_x + 1 < mb_width && fixed[mb_xy + 1] ==
MV_FROZEN)
465 if (mb_y > 0 && fixed[mb_xy - mb_stride] ==
MV_FROZEN)
467 if (mb_y + 1 < mb_height && fixed[mb_xy + mb_stride] ==
MV_FROZEN)
473 if (mb_x > 0 && fixed[mb_xy - 1 ] ==
MV_CHANGED)
475 if (mb_x + 1 < mb_width && fixed[mb_xy + 1 ] ==
MV_CHANGED)
477 if (mb_y > 0 && fixed[mb_xy - mb_stride] ==
MV_CHANGED)
479 if (mb_y + 1 < mb_height && fixed[mb_xy + mb_stride] ==
MV_CHANGED)
481 if (j == 0 && pass > 1)
486 if (mb_x > 0 && fixed[mb_xy - 1]) {
487 mv_predictor[pred_count][0] =
489 mv_predictor[pred_count][1] =
495 if (mb_x + 1 < mb_width && fixed[mb_xy + 1]) {
496 mv_predictor[pred_count][0] =
498 mv_predictor[pred_count][1] =
504 if (mb_y > 0 && fixed[mb_xy - mb_stride]) {
505 mv_predictor[pred_count][0] =
507 mv_predictor[pred_count][1] =
513 if (mb_y + 1<mb_height && fixed[mb_xy + mb_stride]) {
514 mv_predictor[pred_count][0] =
516 mv_predictor[pred_count][1] =
525 if (pred_count > 1) {
526 int sum_x = 0, sum_y = 0, sum_r = 0;
527 int max_x, max_y, min_x, min_y, max_r, min_r;
529 for (j = 0; j < pred_count; j++) {
530 sum_x += mv_predictor[j][0];
531 sum_y += mv_predictor[j][1];
533 if (j && ref[j] != ref[j - 1])
534 goto skip_mean_and_median;
538 mv_predictor[pred_count][0] = sum_x / j;
539 mv_predictor[pred_count][1] = sum_y / j;
540 ref[pred_count] = sum_r / j;
543 if (pred_count >= 3) {
544 min_y = min_x = min_r = 99999;
545 max_y = max_x = max_r = -99999;
547 min_x = min_y = max_x = max_y = min_r = max_r = 0;
549 for (j = 0; j < pred_count; j++) {
550 max_x =
FFMAX(max_x, mv_predictor[j][0]);
551 max_y =
FFMAX(max_y, mv_predictor[j][1]);
552 max_r =
FFMAX(max_r, ref[j]);
553 min_x =
FFMIN(min_x, mv_predictor[j][0]);
554 min_y =
FFMIN(min_y, mv_predictor[j][1]);
555 min_r =
FFMIN(min_r, ref[j]);
557 mv_predictor[pred_count + 1][0] = sum_x - max_x - min_x;
558 mv_predictor[pred_count + 1][1] = sum_y - max_y - min_y;
559 ref[pred_count + 1] = sum_r - max_r - min_r;
561 if (pred_count == 4) {
562 mv_predictor[pred_count + 1][0] /= 2;
563 mv_predictor[pred_count + 1][1] /= 2;
564 ref[pred_count + 1] /= 2;
569 skip_mean_and_median:
573 if (!fixed[mb_xy] && 0) {
593 mv_predictor[pred_count][0] = prev_x;
594 mv_predictor[pred_count][1] = prev_y;
595 ref[pred_count] = prev_ref;
600 for (j = 0; j < pred_count; j++) {
604 mb_x * 16 + mb_y * 16 * linesize[0];
607 s->
mv[0][0][0] = mv_predictor[j][0];
609 s->
mv[0][0][1] = mv_predictor[j][1];
618 if (mb_x > 0 && fixed[mb_xy - 1]) {
620 for (k = 0; k < 16; k++)
621 score +=
FFABS(src[k * linesize[0] - 1] -
622 src[k * linesize[0]]);
624 if (mb_x + 1 < mb_width && fixed[mb_xy + 1]) {
626 for (k = 0; k < 16; k++)
627 score +=
FFABS(src[k * linesize[0] + 15] -
628 src[k * linesize[0] + 16]);
630 if (mb_y > 0 && fixed[mb_xy - mb_stride]) {
632 for (k = 0; k < 16; k++)
633 score +=
FFABS(src[k - linesize[0]] - src[k]);
635 if (mb_y + 1 < mb_height && fixed[mb_xy + mb_stride]) {
637 for (k = 0; k < 16; k++)
638 score +=
FFABS(src[k + linesize[0] * 15] -
639 src[k + linesize[0] * 16]);
642 if (score <= best_score) {
647 score_sum += best_score;
648 s->
mv[0][0][0] = mv_predictor[best_pred][0];
649 s->
mv[0][0][1] = mv_predictor[best_pred][1];
651 for (i = 0; i < mot_step; i++)
652 for (j = 0; j < mot_step; j++) {
661 if (s->
mv[0][0][0] != prev_x || s->
mv[0][0][1] != prev_y) {
673 for (i = 0; i < s->
mb_num; i++) {
683 int is_intra_likely, i, j, undamaged_count, skip_amount, mb_x, mb_y;
689 for (i = 0; i < s->
mb_num; i++) {
699 if (undamaged_count < 5)
708 skip_amount =
FFMAX(undamaged_count / 50, 1);
712 for (mb_y = 0; mb_y < s->
mb_height - 1; mb_y++) {
713 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
715 const int mb_xy = mb_x + mb_y * s->
mb_stride;
723 if ((j % skip_amount) != 0)
729 mb_x * 16 + mb_y * 16 * linesize[0];
731 mb_x * 16 + mb_y * 16 * linesize[0];
738 is_intra_likely += s->
dsp->
sad[0](NULL, last_mb_ptr, mb_ptr,
741 is_intra_likely -= s->
dsp->
sad[0](NULL, last_mb_ptr,
742 last_mb_ptr + linesize[0] * 16,
753 return is_intra_likely > 0;
786 int endx,
int endy,
int status)
788 const int start_i = av_clip(startx + starty * s->
mb_width, 0, s->
mb_num - 1);
789 const int end_i = av_clip(endx + endy * s->
mb_width, 0, s->
mb_num);
797 if (start_i > end_i || start_xy > end_xy) {
799 "internal error, slice end before start\n");
827 (end_xy - start_xy) *
sizeof(
uint8_t));
830 for (i = start_xy; i < end_xy; i++)
858 int i, mb_x, mb_y, error, error_type, dc_error, mv_error, ac_error;
860 int threshold_part[4] = { 100, 100, 100 };
874 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
909 for (i = 0; i < 2; i++) {
918 for (i = 0; i < 2; i++) {
929 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
930 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
941 for (error_type = 1; error_type <= 3; error_type++) {
944 for (i = s->
mb_num - 1; i >= 0; i--) {
948 if (error & (1 << error_type))
950 if (error & (8 << error_type))
966 for (i = s->
mb_num - 1; i >= 0; i--) {
1014 for (error_type = 1; error_type <= 3; error_type++) {
1015 for (i = s->
mb_num - 1; i >= 0; i--) {
1021 if (error & (1 << error_type))
1025 if (distance < threshold_part[error_type - 1])
1028 if (distance < threshold)
1040 for (i = 0; i < s->
mb_num; i++) {
1054 for (i = 0; i < s->
mb_num; i++) {
1064 dc_error = ac_error = mv_error = 0;
1065 for (i = 0; i < s->
mb_num; i++) {
1081 for (i = 0; i < s->
mb_num; i++) {
1087 if (is_intra_likely)
1096 for (i = 0; i < s->
mb_num; i++) {
1103 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
1104 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
1105 const int mb_xy = mb_x + mb_y * s->
mb_stride;
1121 int mb_index = mb_x * 2 + mb_y * 2 * s->
b8_stride;
1124 for (j = 0; j < 4; j++) {
1135 mv_dir, mv_type, &s->
mv, mb_x, mb_y, 0, 0);
1141 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
1142 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
1143 int xy = mb_x * 2 + mb_y * 2 * s->
b8_stride;
1144 const int mb_xy = mb_x + mb_y * s->
mb_stride;
1191 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
1192 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
1193 int dc, dcu, dcv,
y,
n;
1195 uint8_t *dest_y, *dest_cb, *dest_cr;
1196 const int mb_xy = mb_x + mb_y * s->
mb_stride;
1206 dest_y = s->
cur_pic->
f.
data[0] + mb_x * 16 + mb_y * 16 * linesize[0];
1207 dest_cb = s->
cur_pic->
f.
data[1] + mb_x * 8 + mb_y * 8 * linesize[1];
1208 dest_cr = s->
cur_pic->
f.
data[2] + mb_x * 8 + mb_y * 8 * linesize[2];
1211 for (n = 0; n < 4; n++) {
1213 for (y = 0; y < 8; y++) {
1215 for (x = 0; x < 8; x++)
1216 dc += dest_y[x + (n & 1) * 8 +
1217 (y + (n >> 1) * 8) * linesize[0]];
1219 dc_ptr[(n & 1) + (n >> 1) * s->
b8_stride] = (dc + 4) >> 3;
1223 for (y = 0; y < 8; y++) {
1225 for (x = 0; x < 8; x++) {
1226 dcu += dest_cb[x + y * linesize[1]];
1227 dcv += dest_cr[x + y * linesize[2]];
1246 for (mb_y = 0; mb_y < s->
mb_height; mb_y++) {
1247 for (mb_x = 0; mb_x < s->
mb_width; mb_x++) {
1248 uint8_t *dest_y, *dest_cb, *dest_cr;
1249 const int mb_xy = mb_x + mb_y * s->
mb_stride;
1259 dest_y = s->
cur_pic->
f.
data[0] + mb_x * 16 + mb_y * 16 * linesize[0];
1260 dest_cb = s->
cur_pic->
f.
data[1] + mb_x * 8 + mb_y * 8 * linesize[1];
1261 dest_cr = s->
cur_pic->
f.
data[2] + mb_x * 8 + mb_y * 8 * linesize[2];
1263 put_dc(s, dest_y, dest_cb, dest_cr, mb_x, mb_y);
1288 for (i = 0; i < s->
mb_num; i++) {