1 /*
2 * Copyright (c) 2016, Alliance for Open Media. All rights reserved
3 *
4 * This source code is subject to the terms of the BSD 2 Clause License and
5 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
6 * was not distributed with this source code in the LICENSE file, you can
7 * obtain it at www.aomedia.org/license/software. If the Alliance for Open
8 * Media Patent License 1.0 was not distributed with this source code in the
9 * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
10 */
11
12 #include <math.h>
13
14 #include "av1/common/av1_common_int.h"
15 #include "av1/common/blockd.h"
16
av1_left_block_mode(const MB_MODE_INFO * left_mi)17 PREDICTION_MODE av1_left_block_mode(const MB_MODE_INFO *left_mi) {
18 if (!left_mi) return DC_PRED;
19 assert(!is_inter_block(left_mi) || is_intrabc_block(left_mi));
20 return left_mi->mode;
21 }
22
av1_above_block_mode(const MB_MODE_INFO * above_mi)23 PREDICTION_MODE av1_above_block_mode(const MB_MODE_INFO *above_mi) {
24 if (!above_mi) return DC_PRED;
25 assert(!is_inter_block(above_mi) || is_intrabc_block(above_mi));
26 return above_mi->mode;
27 }
28
av1_set_entropy_contexts(const MACROBLOCKD * xd,struct macroblockd_plane * pd,int plane,BLOCK_SIZE plane_bsize,TX_SIZE tx_size,int has_eob,int aoff,int loff)29 void av1_set_entropy_contexts(const MACROBLOCKD *xd,
30 struct macroblockd_plane *pd, int plane,
31 BLOCK_SIZE plane_bsize, TX_SIZE tx_size,
32 int has_eob, int aoff, int loff) {
33 ENTROPY_CONTEXT *const a = pd->above_entropy_context + aoff;
34 ENTROPY_CONTEXT *const l = pd->left_entropy_context + loff;
35 const int txs_wide = tx_size_wide_unit[tx_size];
36 const int txs_high = tx_size_high_unit[tx_size];
37
38 // above
39 if (has_eob && xd->mb_to_right_edge < 0) {
40 const int blocks_wide = max_block_wide(xd, plane_bsize, plane);
41 const int above_contexts = AOMMIN(txs_wide, blocks_wide - aoff);
42 memset(a, has_eob, sizeof(*a) * above_contexts);
43 memset(a + above_contexts, 0, sizeof(*a) * (txs_wide - above_contexts));
44 } else {
45 memset(a, has_eob, sizeof(*a) * txs_wide);
46 }
47
48 // left
49 if (has_eob && xd->mb_to_bottom_edge < 0) {
50 const int blocks_high = max_block_high(xd, plane_bsize, plane);
51 const int left_contexts = AOMMIN(txs_high, blocks_high - loff);
52 memset(l, has_eob, sizeof(*l) * left_contexts);
53 memset(l + left_contexts, 0, sizeof(*l) * (txs_high - left_contexts));
54 } else {
55 memset(l, has_eob, sizeof(*l) * txs_high);
56 }
57 }
av1_reset_entropy_context(MACROBLOCKD * xd,BLOCK_SIZE bsize,const int num_planes)58 void av1_reset_entropy_context(MACROBLOCKD *xd, BLOCK_SIZE bsize,
59 const int num_planes) {
60 assert(bsize < BLOCK_SIZES_ALL);
61 const int nplanes = 1 + (num_planes - 1) * xd->is_chroma_ref;
62 for (int i = 0; i < nplanes; i++) {
63 struct macroblockd_plane *const pd = &xd->plane[i];
64 const BLOCK_SIZE plane_bsize =
65 get_plane_block_size(bsize, pd->subsampling_x, pd->subsampling_y);
66 const int txs_wide = mi_size_wide[plane_bsize];
67 const int txs_high = mi_size_high[plane_bsize];
68 memset(pd->above_entropy_context, 0, sizeof(ENTROPY_CONTEXT) * txs_wide);
69 memset(pd->left_entropy_context, 0, sizeof(ENTROPY_CONTEXT) * txs_high);
70 }
71 }
72
av1_reset_loop_filter_delta(MACROBLOCKD * xd,int num_planes)73 void av1_reset_loop_filter_delta(MACROBLOCKD *xd, int num_planes) {
74 xd->delta_lf_from_base = 0;
75 const int frame_lf_count =
76 num_planes > 1 ? FRAME_LF_COUNT : FRAME_LF_COUNT - 2;
77 for (int lf_id = 0; lf_id < frame_lf_count; ++lf_id) xd->delta_lf[lf_id] = 0;
78 }
79
av1_reset_loop_restoration(MACROBLOCKD * xd,const int num_planes)80 void av1_reset_loop_restoration(MACROBLOCKD *xd, const int num_planes) {
81 for (int p = 0; p < num_planes; ++p) {
82 set_default_wiener(xd->wiener_info + p);
83 set_default_sgrproj(xd->sgrproj_info + p);
84 }
85 }
86
av1_setup_block_planes(MACROBLOCKD * xd,int ss_x,int ss_y,const int num_planes)87 void av1_setup_block_planes(MACROBLOCKD *xd, int ss_x, int ss_y,
88 const int num_planes) {
89 int i;
90
91 for (i = 0; i < num_planes; i++) {
92 xd->plane[i].plane_type = get_plane_type(i);
93 xd->plane[i].subsampling_x = i ? ss_x : 0;
94 xd->plane[i].subsampling_y = i ? ss_y : 0;
95 }
96 for (i = num_planes; i < MAX_MB_PLANE; i++) {
97 xd->plane[i].subsampling_x = 1;
98 xd->plane[i].subsampling_y = 1;
99 }
100 }
101