-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathspectrogram.cpp
More file actions
379 lines (352 loc) · 9.02 KB
/
Copy pathspectrogram.cpp
File metadata and controls
379 lines (352 loc) · 9.02 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
#include <iostream>
#include <bitset>
#include <fstream>
#include <vector>
#include <stack>
#include <set>
#include <map>
#include <algorithm>
#include <string>
#include <complex>
using namespace std;
const int INF = 1e9;
const double PI = acos(-1);
using ll = long long;
using uchar = unsigned char;
using cmd = complex<double>;
template <typename T>
void fft_r(vector <T>& p, vector <cmd>& res, cmd w, int l, int r)
{
if (l == r)
{
int k = p.size();
int n = 0;
while (k > 1)
{
n++;
k /= 2;
}
int c = 0;
for (int i = 0; i < n; i++)
{
c = c | (l & 1);
c = c << 1;
l = l >> 1;
}
c = c >> 1;
res[r] = p[c];
return;
}
int m = (l + r) / 2;
fft_r(p, res, w * w, l, m);
fft_r(p, res, w * w, m + 1, r);
int n = r - l + 1;
int k = n / 2;
cmd wt = 1;
vector <cmd> v;
for (int i = 0; i < n; i++)
{
cmd a = res[l + i % k] + wt * res[m + 1 + i % k];
v.push_back(a);
wt *= w;
}
for (int i = 0; i < n; i++)
res[l + i] = v[i];
}
template <typename T>
vector <cmd> fft(vector <T>& v)
{
int n = v.size();
vector <cmd> out(n);
fft_r(v, out, polar(1.0, 2 * acos(-1) / n), 0, n - 1);
return out;
}
vector <double> rfft(vector <cmd>& v)
{
int n = v.size();
vector <cmd> tmp(n);
fft_r(v, tmp, polar(1.0, -2 * acos(-1) / n), 0, n - 1);
vector <double> out(n);
for (int i = 0; i < n; i++)
out[i] = tmp[i].real() / n;
return out;
}
#pragma pack(push,1)
struct RGB
{
uchar B;
uchar G;
uchar R;
RGB(int _R = 0, int _G = 0, int _B = 0)
{
R = (uchar)_R;
B = (uchar)_B;
G = (uchar)_G;
}
};
struct BMPheader
{
char type[2] = { 'B','M' };
__int32 size = -1;
__int32 reserved = 0;
__int32 offset = 54;
__int32 headSize = 40;
__int32 cols = -1;
__int32 rows = -1;
__int16 planes = 1;
__int16 bitCount = 24;
__int32 compression = 0;
__int32 imageSize = -1;
char otherParams[16];
};
#pragma pack(pop)
struct BMPimage
{
BMPheader head;
int w, h;
vector <vector <RGB>> mat;
};
BMPimage load_image(string name)
{
ifstream img(name, ios::binary);
BMPimage out;
img.read((char*)&out.head, sizeof(BMPheader));
out.w = out.head.cols;
out.h = out.head.rows;
out.mat = vector <vector <RGB>>(out.h, vector<RGB>(out.w));
for (int y = 0; y < out.h; y++)
{
for (int x = 0; x < out.w; x++)
{
RGB col;
img.read((char*)&col, 3);
out.mat[y][x] = col;
}
char del[4];
img.read(del, out.w % 4);
}
img.close();
return out;
}
BMPimage new_image(int rows, int cols)
{
BMPimage img;
img.w = cols;
img.h = rows;
img.head.rows = rows;
img.head.cols = cols;
img.mat = vector <vector <RGB>>(rows, vector<RGB>(cols));
return img;
}
void save_image(BMPimage& img, string name)
{
ofstream file(name, ios::binary);
file.write((char*)&img.head, sizeof(BMPheader));
for (int y = 0; y < img.h; y++)
{
for (int x = 0; x < img.w; x++)
file.write((char*)&img.mat[y][x], sizeof(RGB));
char zero = 0;
for (int i = 0; i < img.w % 4; i++)
file.write((char*)&zero, 1);
}
file.close();
}
#pragma pack(push,1)
struct WAVfmt
{
char ID[4] = { 'f', 'm', 't', ' ' };
__int32 size = 16;
__int16 compression = 1;
__int16 channels = 1;
__int32 sampleRate = 44100;
__int32 bytesPerSecond = 88200;
__int16 blockAlign = 2;
__int16 bitsPerSample = 16;
};
#pragma pack(pop)
struct WAVaudio
{
WAVfmt fmt;
int sampleRate;
int channels;
vector <vector <int>> audio;
};
WAVaudio load_audio(string name)
{
char ID[5];
ID[4] = '\0';
ifstream file(name, ios::binary);
WAVaudio out;
int size;
while (true)
{
file.read(ID, 4);
file.read((char*)&size, 4);
if (string(ID) == "RIFF")
{
file.read(ID, 4);
continue;
}
if (string(ID) == "fmt ")
{
file.read((char*)&out.fmt + 8, sizeof(WAVfmt) - 8);
out.fmt.size = size;
out.channels = out.fmt.channels;
out.sampleRate = out.fmt.sampleRate;
continue;
}
if (string(ID) == "data")
break;
file.seekg((int)file.tellg() + size);
}
int n = out.fmt.blockAlign / out.fmt.channels;
size /= out.fmt.blockAlign;
out.audio = vector <vector <int>>(out.channels, vector<int>(size));
for (int i = 0; i < size; i++)
{
for (int j = 0; j < out.channels; j++)
file.read((char*)&out.audio[j][i], n);
}
file.close();
return out;
}
WAVaudio new_audio(int sampleRate, int channels)
{
WAVaudio out;
out.sampleRate = sampleRate;
out.fmt.sampleRate = sampleRate;
out.channels = channels;
out.fmt.channels = channels;
out.fmt.blockAlign = 2 * channels;
out.fmt.bytesPerSecond = 2 * sampleRate * channels;
out.audio = vector <vector <int>>(channels);
return out;
}
void save_audio(WAVaudio& audio, string name)
{
ofstream file(name, ios::binary);
char ID[] = "RIFF";
char WAVE[] = "WAVE";
int size = 8 + sizeof(WAVfmt) + audio.audio[0].size() * audio.fmt.blockAlign;
file.write(ID, 4);
file.write((char*)&size, 4);
file.write(WAVE, 4);
file.write((char*)&audio.fmt, sizeof(WAVfmt));
char IDdata[] = "data";
size = audio.audio[0].size() * audio.fmt.blockAlign;
file.write(IDdata, 4);
file.write((char*)&size, 4);
size = audio.audio[0].size();
int n = audio.fmt.blockAlign / audio.channels;
for (int i = 0; i < size; i++)
{
for (int j = 0; j < audio.channels; j++)
file.write((char*)&audio.audio[j][i], n);
}
file.close();
}
int rgb2gray(RGB col)
{
return 0.2989 * col.R + 0.5870 * col.G + 0.1140 * col.B;
}
// f: [0,1] -> [0,1]
vector <RGB> make_gradient(int n, RGB l, RGB r, double(*f)(double))
{
vector <RGB> out(n);
int dR = (int)r.R - l.R;
int dG = (int)r.G - l.G;
int dB = (int)r.B - l.B;
for (int i = 0; i < n; i++)
{
double k = f((double)(i + 1) / n);
out[i] = RGB(l.R + dR * k, l.G + dG * k, l.B + dB * k);
}
return out;
}
int nearest(int a)
{
int res = 1;
while (a > res)
res *= 2;
return res;
}
BMPimage make_spectrogram(WAVaudio& audio, int H, vector <RGB> gradient)
{
H = 2 * nearest(H);
int W = audio.audio[0].size() / H;
vector <vector <double>> mat(H, vector <double>(W));
double mx = 1;
BMPimage img = new_image(H / 2, W);
vector <double> a(H);
vector <cmd> b(H);
for (int x = 0; x < W; x++)
{
for (int i = 0; i < H; i++)
a[i] = audio.audio[0][x * H + i];
b = fft(a);
for (int y = 0; y < H / 2; y++)
{
mat[y][x] = abs(b[y]);
if (mat[y][x] > mx)
mx = mat[y][x];
}
}
double k = log(155);
for (int y = 0; y < img.h; y++)
{
for (int x = 0; x < img.w; x++)
{
int idx = min((int)(gradient.size() * mat[y][x] / mx), (int)gradient.size() - 1);
img.mat[y][x] = gradient[idx];
}
}
return img;
}
WAVaudio make_noise(BMPimage& img, int rate)
{
const double magnitude = 1e5;
const int contrast = 30;
const int black = 100;
int H = 2 * nearest(img.h);
vector <cmd> a(H);
vector <double> b(H);
int mx = 1;
WAVaudio audio = new_audio(rate, 1);
for (int x = 0; x < img.w; x++)
{
for (int i = 0; i < img.h; i++)
{
a[i] = polar(magnitude * (rand() % (contrast * rgb2gray(img.mat[i][x]) + black)), 0.0);
a[H - i - 1] = a[i];
}
b = rfft(a);
for (int i = 0; i < H; i++)
{
audio.audio[0].push_back(b[i]);
if (b[i] > mx)
mx = b[i];
}
}
for (int i = 0; i < audio.audio[0].size(); i++)
audio.audio[0][i] = 32000ll * audio.audio[0][i] / mx;
return audio;
}
double f(double x)
{
double ans = 1 + log(x) / log(155);
return max(0.0, ans);
}
int main()
{
// пример использования
// генерация звука, спектрограмма которого повторяет заданную картинку
BMPimage img1 = load_image("original.bmp"); // загружаем картинку, по которой сгенерируется звук
WAVaudio audio1 = make_noise(img1, 44100);
save_audio(audio1, "sound.wav");
// генерация спектрограммы указанного звука
WAVaudio audio2 = load_audio("sound.wav"); // в данном примере можно было использовать audio1, т.к. audio1 == audio2
vector <RGB> gradient = make_gradient(255, RGB(0, 0, 0), RGB(0, 200, 200), f);
BMPimage img2 = make_spectrogram(audio2, img1.h, gradient);
save_image(img2, "result.bmp");
}