1233d2500723e5594f3e7c70896ffeeef32b9c950ywan/*
2233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  Copyright (c) 2013 The WebM project authors. All Rights Reserved.
3233d2500723e5594f3e7c70896ffeeef32b9c950ywan *
4233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  Use of this source code is governed by a BSD-style license
5233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  that can be found in the LICENSE file in the root of the source
6233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  tree. An additional intellectual property rights grant can be found
7233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  in the file PATENTS.  All contributing project authors may
8233d2500723e5594f3e7c70896ffeeef32b9c950ywan *  be found in the AUTHORS file in the root of the source tree.
9233d2500723e5594f3e7c70896ffeeef32b9c950ywan */
10233d2500723e5594f3e7c70896ffeeef32b9c950ywan
11233d2500723e5594f3e7c70896ffeeef32b9c950ywan#include "./vp9_rtcd.h"
12233d2500723e5594f3e7c70896ffeeef32b9c950ywan#include "vp9/common/vp9_filter.h"
13233d2500723e5594f3e7c70896ffeeef32b9c950ywan#include "vp9/common/vp9_scale.h"
14233d2500723e5594f3e7c70896ffeeef32b9c950ywan
15233d2500723e5594f3e7c70896ffeeef32b9c950ywanstatic INLINE int scaled_x(int val, const struct scale_factors *sf) {
16233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return (int)((int64_t)val * sf->x_scale_fp >> REF_SCALE_SHIFT);
17233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
18233d2500723e5594f3e7c70896ffeeef32b9c950ywan
19233d2500723e5594f3e7c70896ffeeef32b9c950ywanstatic INLINE int scaled_y(int val, const struct scale_factors *sf) {
20233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return (int)((int64_t)val * sf->y_scale_fp >> REF_SCALE_SHIFT);
21233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
22233d2500723e5594f3e7c70896ffeeef32b9c950ywan
23233d2500723e5594f3e7c70896ffeeef32b9c950ywanstatic int unscaled_value(int val, const struct scale_factors *sf) {
24233d2500723e5594f3e7c70896ffeeef32b9c950ywan  (void) sf;
25233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return val;
26233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
27233d2500723e5594f3e7c70896ffeeef32b9c950ywan
28233d2500723e5594f3e7c70896ffeeef32b9c950ywanstatic int get_fixed_point_scale_factor(int other_size, int this_size) {
29233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // Calculate scaling factor once for each reference frame
30233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // and use fixed point scaling factors in decoding and encoding routines.
31233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // Hardware implementations can calculate scale factor in device driver
32233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // and use multiplication and shifting on hardware instead of division.
33233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return (other_size << REF_SCALE_SHIFT) / this_size;
34233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
35233d2500723e5594f3e7c70896ffeeef32b9c950ywan
36233d2500723e5594f3e7c70896ffeeef32b9c950ywanstatic int check_scale_factors(int other_w, int other_h,
37233d2500723e5594f3e7c70896ffeeef32b9c950ywan                               int this_w, int this_h) {
38233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return 2 * this_w >= other_w &&
39233d2500723e5594f3e7c70896ffeeef32b9c950ywan         2 * this_h >= other_h &&
40233d2500723e5594f3e7c70896ffeeef32b9c950ywan         this_w <= 16 * other_w &&
41233d2500723e5594f3e7c70896ffeeef32b9c950ywan         this_h <= 16 * other_h;
42233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
43233d2500723e5594f3e7c70896ffeeef32b9c950ywan
44233d2500723e5594f3e7c70896ffeeef32b9c950ywanMV32 vp9_scale_mv(const MV *mv, int x, int y, const struct scale_factors *sf) {
45233d2500723e5594f3e7c70896ffeeef32b9c950ywan  const int x_off_q4 = scaled_x(x << SUBPEL_BITS, sf) & SUBPEL_MASK;
46233d2500723e5594f3e7c70896ffeeef32b9c950ywan  const int y_off_q4 = scaled_y(y << SUBPEL_BITS, sf) & SUBPEL_MASK;
47233d2500723e5594f3e7c70896ffeeef32b9c950ywan  const MV32 res = {
48233d2500723e5594f3e7c70896ffeeef32b9c950ywan    scaled_y(mv->row, sf) + y_off_q4,
49233d2500723e5594f3e7c70896ffeeef32b9c950ywan    scaled_x(mv->col, sf) + x_off_q4
50233d2500723e5594f3e7c70896ffeeef32b9c950ywan  };
51233d2500723e5594f3e7c70896ffeeef32b9c950ywan  return res;
52233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
53233d2500723e5594f3e7c70896ffeeef32b9c950ywan
54233d2500723e5594f3e7c70896ffeeef32b9c950ywanvoid vp9_setup_scale_factors_for_frame(struct scale_factors *sf,
55233d2500723e5594f3e7c70896ffeeef32b9c950ywan                                       int other_w, int other_h,
56233d2500723e5594f3e7c70896ffeeef32b9c950ywan                                       int this_w, int this_h) {
57233d2500723e5594f3e7c70896ffeeef32b9c950ywan  if (!check_scale_factors(other_w, other_h, this_w, this_h)) {
58233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->x_scale_fp = REF_INVALID_SCALE;
59233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->y_scale_fp = REF_INVALID_SCALE;
60233d2500723e5594f3e7c70896ffeeef32b9c950ywan    return;
61233d2500723e5594f3e7c70896ffeeef32b9c950ywan  }
62233d2500723e5594f3e7c70896ffeeef32b9c950ywan
63233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->x_scale_fp = get_fixed_point_scale_factor(other_w, this_w);
64233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->y_scale_fp = get_fixed_point_scale_factor(other_h, this_h);
65233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->x_step_q4 = scaled_x(16, sf);
66233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->y_step_q4 = scaled_y(16, sf);
67233d2500723e5594f3e7c70896ffeeef32b9c950ywan
68233d2500723e5594f3e7c70896ffeeef32b9c950ywan  if (vp9_is_scaled(sf)) {
69233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->scale_value_x = scaled_x;
70233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->scale_value_y = scaled_y;
71233d2500723e5594f3e7c70896ffeeef32b9c950ywan  } else {
72233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->scale_value_x = unscaled_value;
73233d2500723e5594f3e7c70896ffeeef32b9c950ywan    sf->scale_value_y = unscaled_value;
74233d2500723e5594f3e7c70896ffeeef32b9c950ywan  }
75233d2500723e5594f3e7c70896ffeeef32b9c950ywan
76233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // TODO(agrange): Investigate the best choice of functions to use here
77233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // for EIGHTTAP_SMOOTH. Since it is not interpolating, need to choose what
78233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // to do at full-pel offsets. The current selection, where the filter is
79233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // applied in one direction only, and not at all for 0,0, seems to give the
80233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // best quality, but it may be worth trying an additional mode that does
81233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // do the filtering on full-pel.
82233d2500723e5594f3e7c70896ffeeef32b9c950ywan  if (sf->x_step_q4 == 16) {
83233d2500723e5594f3e7c70896ffeeef32b9c950ywan    if (sf->y_step_q4 == 16) {
84233d2500723e5594f3e7c70896ffeeef32b9c950ywan      // No scaling in either direction.
85233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][0] = vp9_convolve_copy;
86233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][1] = vp9_convolve_avg;
87233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][0] = vp9_convolve8_vert;
88233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][1] = vp9_convolve8_avg_vert;
89233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][0] = vp9_convolve8_horiz;
90233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][1] = vp9_convolve8_avg_horiz;
91233d2500723e5594f3e7c70896ffeeef32b9c950ywan    } else {
92233d2500723e5594f3e7c70896ffeeef32b9c950ywan      // No scaling in x direction. Must always scale in the y direction.
93233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][0] = vp9_convolve8_vert;
94233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][1] = vp9_convolve8_avg_vert;
95233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][0] = vp9_convolve8_vert;
96233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][1] = vp9_convolve8_avg_vert;
97233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][0] = vp9_convolve8;
98233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][1] = vp9_convolve8_avg;
99233d2500723e5594f3e7c70896ffeeef32b9c950ywan    }
100233d2500723e5594f3e7c70896ffeeef32b9c950ywan  } else {
101233d2500723e5594f3e7c70896ffeeef32b9c950ywan    if (sf->y_step_q4 == 16) {
102233d2500723e5594f3e7c70896ffeeef32b9c950ywan      // No scaling in the y direction. Must always scale in the x direction.
103233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][0] = vp9_convolve8_horiz;
104233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][1] = vp9_convolve8_avg_horiz;
105233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][0] = vp9_convolve8;
106233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][1] = vp9_convolve8_avg;
107233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][0] = vp9_convolve8_horiz;
108233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][1] = vp9_convolve8_avg_horiz;
109233d2500723e5594f3e7c70896ffeeef32b9c950ywan    } else {
110233d2500723e5594f3e7c70896ffeeef32b9c950ywan      // Must always scale in both directions.
111233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][0] = vp9_convolve8;
112233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][0][1] = vp9_convolve8_avg;
113233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][0] = vp9_convolve8;
114233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[0][1][1] = vp9_convolve8_avg;
115233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][0] = vp9_convolve8;
116233d2500723e5594f3e7c70896ffeeef32b9c950ywan      sf->predict[1][0][1] = vp9_convolve8_avg;
117233d2500723e5594f3e7c70896ffeeef32b9c950ywan    }
118233d2500723e5594f3e7c70896ffeeef32b9c950ywan  }
119233d2500723e5594f3e7c70896ffeeef32b9c950ywan  // 2D subpel motion always gets filtered in both directions
120233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->predict[1][1][0] = vp9_convolve8;
121233d2500723e5594f3e7c70896ffeeef32b9c950ywan  sf->predict[1][1][1] = vp9_convolve8_avg;
122233d2500723e5594f3e7c70896ffeeef32b9c950ywan}
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