• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1 /*
2  * Copyright (C) 2010 The Android Open Source Project
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  *      http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #include <android/bitmap.h>
18 #include <jni.h>
19 
20 #include <cmath>
21 #include <cstdlib>
22 
23 #include "utils.h"
24 #include "_jni.h"
25 
26 using android::apps::photoeditor::utils::LockBitmaps;
27 using android::apps::photoeditor::utils::pixel32_t;
28 using android::apps::photoeditor::utils::UnlockBitmaps;
29 
30 namespace {
31 
32 const uint32_t kShiftBits = 10;
33 const uint32_t kShiftValue = (1 << kShiftBits);
34 
35 /*
36  * Convolution matrix of distance 2 with fixed point of 'kShiftBits' bits
37  * shifted. Thus the sum of this matrix should be 'kShiftValue'. Entries of
38  * small values are not calculated to gain efficiency.
39  * The order ot pixels represented in this matrix is:
40  *  1  2  3
41  *  4  0  5
42  *  6  7  8
43  *  and the matrix should be: {230, 56, 114, 56, 114, 114, 56, 114, 56}.
44  *  However, since most of the valus are identical, we only use the first three
45  *  entries and the entries corresponding to the pixels is:
46  *  1  2  1
47  *  2  0  2
48  *  1  2  1
49  */
50 const uint32_t convolution_matrix[3] = {230, 56, 114};
51 
52 /*
53  * Generate a blurred random noise bitmap.
54  */
GenerateBlurredNoise(void * dst_pixels,AndroidBitmapInfo * dst_info,float noise_scale)55 void GenerateBlurredNoise(void* dst_pixels, AndroidBitmapInfo* dst_info,
56       float noise_scale) {
57   uint32_t fixed_noise_scale = noise_scale * kShiftValue;
58 
59   // Clear dst bitmap to 0 for storing generated random  noise.
60   memset(dst_pixels, 0, dst_info->stride * dst_info->height);
61 
62   // 0.5 is a empirical value and could be tuned.
63   int random_threshold = RAND_MAX * 0.5;
64   for (uint32_t y = 0; y < dst_info->height; y++) {
65     uint32_t* dp_line = reinterpret_cast<uint32_t*>(
66         reinterpret_cast<char*>(dst_pixels) + y * dst_info->stride);
67 
68     for (uint32_t x = 0; x < dst_info->width; x++) {
69       if (rand() < random_threshold) {
70         uint32_t* dp = dp_line + x;
71         uint32_t* dp_prev = (y == 0) ? dp : (dp - dst_info->width);
72         uint32_t* dp_next = (y == dst_info->height - 1) ? dp : (dp + dst_info->width);
73 
74         /*
75          * 1  2  3
76          * 4  0  5
77          * 6  7  8
78          */
79         uint32_t* n[9];
80         n[0] = dp;
81         n[2] = dp_prev;
82         n[7] = dp_next;
83         if (x == 0) {
84           n[1] = n[2];
85           n[4] = n[0];
86           n[6] = n[7];
87         } else {
88           n[1] = n[2] - 1;
89           n[4] = n[0] - 1;
90           n[6] = n[7] - 1;
91         }
92         if (x == dst_info->width - 1) {
93           n[3] = n[2];
94           n[5] = n[0];
95           n[8] = n[7];
96         } else {
97           n[3] = n[2] + 1;
98           n[5] = n[0] + 1;
99           n[8] = n[7] + 1;
100         }
101 
102         // noise randomness uniformly distributed between 0.5 to 1.5,
103         // 0.5 is an empirical value.
104         uint32_t random_noise_scale = fixed_noise_scale
105             * (static_cast<double>(rand()) / RAND_MAX + 0.5);
106 
107         *n[0] = *n[0] + ((convolution_matrix[0] * random_noise_scale) >> kShiftBits);
108         // The value in convolution_matrix is identical (56) for indexes 1, 3, 6, 8.
109         uint32_t normal_scaled_noise = (convolution_matrix[1] * random_noise_scale) >> kShiftBits;
110         *n[1] += normal_scaled_noise;
111         *n[3] += normal_scaled_noise;
112         *n[6] += normal_scaled_noise;
113         *n[8] += normal_scaled_noise;
114         // Likewise, the computation could be saved for indexes 2, 4, 5, 7;
115         normal_scaled_noise = (convolution_matrix[2] * random_noise_scale) >> kShiftBits;
116         *n[2] += normal_scaled_noise;
117         *n[4] += normal_scaled_noise;
118         *n[5] += normal_scaled_noise;
119         *n[7] += normal_scaled_noise;
120       }
121     }
122   }
123 }
124 
Java_com_android_photoeditor_filters_ImageUtils_nativeGrain(JNIEnv * env,jobject obj,jobject src_bitmap,jobject dst_bitmap,jfloat noise_scale)125 extern "C" JNIEXPORT void JNICALL Java_com_android_photoeditor_filters_ImageUtils_nativeGrain(
126     JNIEnv *env, jobject obj, jobject src_bitmap, jobject dst_bitmap, jfloat noise_scale) {
127    pGrainType f = (pGrainType)JNIFunc[JNI_Grain].func_ptr;
128    return f(env, obj, src_bitmap, dst_bitmap, noise_scale);
129 }
130 
Grain(JNIEnv * env,jobject obj,jobject src_bitmap,jobject dst_bitmap,jfloat noise_scale)131 extern "C" void Grain(
132     JNIEnv *env, jobject obj, jobject src_bitmap, jobject dst_bitmap, jfloat noise_scale) {
133   AndroidBitmapInfo src_info;
134   AndroidBitmapInfo dst_info;
135   void* src_pixels;
136   void* dst_pixels;
137 
138   int ret = LockBitmaps(
139       env, src_bitmap, dst_bitmap, &src_info, &dst_info, &src_pixels, &dst_pixels);
140   if (ret < 0) {
141     LOGE("LockBitmaps in grain failed, error=%d", ret);
142     return;
143   }
144 
145   GenerateBlurredNoise(dst_pixels, &dst_info, noise_scale);
146 
147   for (uint32_t scan_line = 0; scan_line < src_info.height; scan_line++) {
148     uint32_t* src = reinterpret_cast<uint32_t*>(
149         reinterpret_cast<char*>(src_pixels) + src_info.stride * scan_line);
150     uint32_t* dst = reinterpret_cast<uint32_t*>(
151         reinterpret_cast<char*>(dst_pixels) + dst_info.stride * scan_line);
152 
153     uint32_t* src_line_end = src + src_info.width;
154     while (src < src_line_end) {
155       pixel32_t* sp = reinterpret_cast<pixel32_t*>(src);
156       pixel32_t* dp = reinterpret_cast<pixel32_t*>(dst);
157 
158       // energy_mask is used to constrain the noise according to the energy
159       // level. Film grain appear more in dark part.
160       // The energy level (from 0 to 765) is square-rooted and should in the
161       // range from 0 to 27.659 (sqrt(765)), so 28 is used for normalization.
162       uint32_t energy_level = sp->rgba8[0] + sp->rgba8[1] + sp->rgba8[2];
163       uint32_t energy_mask = 28 - static_cast<uint32_t>(sqrtf(energy_level));
164 
165       // The intensity of each channel of RGB is affected by the random
166       // noise previously produced and stored in dp->pixel.
167       // dp->pixel should be in the range of [1.3 * noise_scale * kShiftValue,
168       // 0]. Therefore 'scale' should be in the range of
169       // [kShiftValue, kShiftValue - 1.3 * noise_scale * kShiftValue]
170       uint32_t scale = (kShiftValue - dp->rgba32 * energy_mask / 28);
171       uint32_t red = (sp->rgba8[0] * scale) >> kShiftBits;
172       uint32_t green = (sp->rgba8[1] * scale) >> kShiftBits;
173       uint32_t blue = (sp->rgba8[2] * scale) >> kShiftBits;
174       dp->rgba32 = (sp->rgba8[3] << 24) | (blue << 16) | (green << 8) | red;
175 
176       dst++;
177       src++;
178     }
179   }
180 
181   UnlockBitmaps(env, src_bitmap, dst_bitmap);
182 }
183 
184 }  // namespace
185