Line data Source code
1 : /*
2 : * Copyright (c) 2015 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 <math.h>
12 : #include <stdlib.h>
13 :
14 : #include "./vpx_config.h"
15 : #include "./vpx_dsp_rtcd.h"
16 :
17 : #include "vpx/vpx_integer.h"
18 : #include "vpx_ports/mem.h"
19 :
20 0 : void vpx_plane_add_noise_c(uint8_t *start, const int8_t *noise, int blackclamp,
21 : int whiteclamp, int width, int height, int pitch) {
22 : int i, j;
23 0 : int bothclamp = blackclamp + whiteclamp;
24 0 : for (i = 0; i < height; ++i) {
25 0 : uint8_t *pos = start + i * pitch;
26 0 : const int8_t *ref = (const int8_t *)(noise + (rand() & 0xff)); // NOLINT
27 :
28 0 : for (j = 0; j < width; ++j) {
29 0 : int v = pos[j];
30 :
31 0 : v = clamp(v - blackclamp, 0, 255);
32 0 : v = clamp(v + bothclamp, 0, 255);
33 0 : v = clamp(v - whiteclamp, 0, 255);
34 :
35 0 : pos[j] = v + ref[j];
36 : }
37 : }
38 0 : }
39 :
40 0 : static double gaussian(double sigma, double mu, double x) {
41 0 : return 1 / (sigma * sqrt(2.0 * 3.14159265)) *
42 0 : (exp(-(x - mu) * (x - mu) / (2 * sigma * sigma)));
43 : }
44 :
45 0 : int vpx_setup_noise(double sigma, int8_t *noise, int size) {
46 : int8_t char_dist[256];
47 0 : int next = 0, i, j;
48 :
49 : // set up a 256 entry lookup that matches gaussian distribution
50 0 : for (i = -32; i < 32; ++i) {
51 0 : const int a_i = (int)(0.5 + 256 * gaussian(sigma, 0, i));
52 0 : if (a_i) {
53 0 : for (j = 0; j < a_i; ++j) {
54 0 : char_dist[next + j] = (int8_t)i;
55 : }
56 0 : next = next + j;
57 : }
58 : }
59 :
60 : // Rounding error - might mean we have less than 256.
61 0 : for (; next < 256; ++next) {
62 0 : char_dist[next] = 0;
63 : }
64 :
65 0 : for (i = 0; i < size; ++i) {
66 0 : noise[i] = char_dist[rand() & 0xff]; // NOLINT
67 : }
68 :
69 : // Returns the highest non 0 value used in distribution.
70 0 : return -char_dist[0];
71 : }
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