0
|
1 #include "wm.h"
|
|
2 #include "signature.h"
|
|
3 #include "coord.h"
|
|
4 #include "gray.h"
|
|
5 #include "sort.h"
|
|
6 #include "bruyn_common.h"
|
|
7 #include "pgm.h"
|
|
8
|
|
9 char *progname;
|
|
10
|
|
11 // prints out program's parameters
|
|
12 void usage(void) {
|
|
13 fprintf(stderr, "usage: %s [-b n] [-h] [-k] [-n n] [-o file] [-pP n] [-q n] [-tT n] [-v n] -s file file\n", progname);
|
|
14 fprintf(stderr, "\t-b n\t\tblock size\n");
|
|
15 fprintf(stderr, "\t-h\t\tprint usage\n");
|
|
16 fprintf(stderr, "\t-k\t\tdisable block skipping\n");
|
|
17 fprintf(stderr, "\t-n n\t\tnumber of signature bits to embed\n");
|
|
18 fprintf(stderr, "\t-o file\t\toutput (watermarked) file\n");
|
|
19 fprintf(stderr, "\t-p n\t\tpattern type for zone 1\n");
|
|
20 fprintf(stderr, "\t-P n\t\tpattern type for zone 2\n");
|
|
21 fprintf(stderr, "\t-q n\t\tsignature strength\n");
|
|
22 fprintf(stderr, "\t-s file\t\tsignature to embed in input image\n");
|
|
23 fprintf(stderr, "\t-t n\t\tthreshold for noise\n");
|
|
24 fprintf(stderr, "\t-T n\t\tthreshold for slope\n");
|
|
25 fprintf(stderr, "\t-v n\t\tverbosity level\n");
|
|
26 exit(0);
|
|
27 }
|
|
28
|
|
29 int main(int argc, char *argv[]) {
|
|
30 FILE *in = stdin;
|
|
31 FILE *out = stdout;
|
|
32 FILE *sig = NULL;
|
|
33
|
|
34 gray** image;
|
|
35 gray **block;
|
|
36 gray **zone;
|
|
37 gray **category1, **category2;
|
|
38 gray maxval;
|
|
39 double *slope;
|
8
|
40 int rows, cols, format;
|
0
|
41 int c;
|
|
42 int i, j;
|
|
43 int n;
|
|
44 int col, row;
|
|
45 int n_block;
|
|
46 int skipping = 0;
|
|
47
|
|
48 char signature_name[MAXPATHLEN];
|
|
49 char input_name[MAXPATHLEN] = "(stdin)";
|
|
50 char output_name[MAXPATHLEN] = "(stdout)";
|
|
51
|
|
52 double quality = 0.0;
|
|
53 double threshold_noise = 0.0;
|
|
54 double threshold_slope = 0.0;
|
|
55 int pattern1 = 0;
|
|
56 int pattern2 = 0;
|
|
57 int blocksize = 0;
|
|
58 int seed;
|
|
59
|
|
60 int verbose = 0;
|
|
61
|
|
62 struct coords *coords;
|
|
63
|
|
64 progname = argv[0];
|
|
65
|
|
66 pgm_init(&argc, argv); wm_init();
|
|
67
|
|
68 // parse command line and set options
|
|
69 while ((c = getopt(argc, argv, "b:h?n:o:p:P:q:s:t:T:v:k")) != EOF) {
|
|
70 switch (c) {
|
|
71 case 'k':
|
|
72 skipping = 1;
|
|
73 break;
|
|
74 case 'h':
|
|
75 case '?':
|
|
76 usage();
|
|
77 break;
|
|
78 case 'n':
|
|
79 nbit_signature = atoi(optarg);
|
|
80 if (nbit_signature <= 0 || nbit_signature > NBITSIGNATURE) {
|
|
81 fprintf(stderr, "%s: invalid signature length %d\n", progname, nbit_signature);
|
|
82 exit(1);
|
|
83 }
|
|
84 break;
|
|
85 case 'o':
|
|
86 if ((out = fopen(optarg, "wb")) == NULL) {
|
|
87 fprintf(stderr, "%s: unable to open output file %s\n", progname, optarg);
|
|
88 exit(1);
|
|
89 }
|
|
90 strcpy(output_name, optarg);
|
|
91 break;
|
|
92 case 'p':
|
|
93 pattern1 = atoi(optarg);
|
|
94 if (pattern1 <= 0 || pattern1 > NPATTERN) {
|
|
95 fprintf(stderr, "%s: pattern type out of range\n", progname);
|
|
96 exit(1);
|
|
97 }
|
|
98 break;
|
|
99 case 'P':
|
|
100 pattern2 = atoi(optarg);
|
|
101 if (pattern2 <= 0 || pattern2 > 3) {
|
|
102 fprintf(stderr, "%s: pattern type out of range\n", progname);
|
|
103 exit(1);
|
|
104 }
|
|
105 break;
|
|
106 case 'q':
|
|
107 quality = atof(optarg);
|
|
108 if (quality <= 0) {
|
|
109 fprintf(stderr, "%s: quality factor %f out of range\n", progname, quality);
|
|
110 }
|
|
111 break;
|
|
112 case 's':
|
|
113 if ((sig = fopen(optarg, "r")) == NULL) {
|
|
114 fprintf(stderr, "%s: unable to open signature file %s\n", progname, optarg);
|
|
115 exit(1);
|
|
116 }
|
|
117 strcpy(signature_name, optarg);
|
|
118 break;
|
|
119 case 't':
|
|
120 threshold_noise = atof(optarg);
|
|
121 if (threshold_noise <= 0) {
|
|
122 fprintf(stderr, "%s: noise threshold %f out of range\n", progname, threshold_noise);
|
|
123 }
|
|
124 break;
|
|
125 case 'T':
|
|
126 threshold_slope = atof(optarg);
|
|
127 if (threshold_slope <= 0) {
|
|
128 fprintf(stderr, "%s: slope threshold %f out of range\n", progname, threshold_slope);
|
|
129 }
|
|
130 break;
|
|
131 case 'v':
|
|
132 verbose = atoi(optarg);
|
|
133 if (verbose < 0) {
|
|
134 fprintf(stderr, "%s: verbosity level %d out of range\n",progname, verbose);
|
|
135 exit(1);
|
|
136 }
|
|
137 break;
|
|
138 }
|
|
139 }
|
|
140
|
|
141 argc -= optind;
|
|
142 argv += optind;
|
|
143
|
|
144 if (argc > 1) {
|
|
145 usage();
|
|
146 exit(1);
|
|
147 }
|
|
148
|
|
149 // open input image file or read from stdin
|
8
|
150 if (argc == 1 && *argv[0] != '-') {
|
0
|
151 if ((in = fopen(argv[0], "rb")) == NULL) {
|
|
152 fprintf(stderr, "%s: unable to open input file %s\n", progname, argv[0]);
|
|
153 exit(1);
|
|
154 }
|
|
155 else
|
|
156 strcpy(input_name, argv[0]);
|
8
|
157 }
|
|
158
|
0
|
159 // read signature file and set options
|
|
160 // command line options override signature file options
|
|
161 if (sig) {
|
|
162 char line[128];
|
|
163 fgets(line, sizeof(line), sig);
|
|
164 if (strspn(line, "BRSG") >= 4) {
|
|
165 if (nbit_signature == 0)
|
|
166 fscanf(sig, "%d\n", &nbit_signature);
|
|
167 else
|
|
168 fscanf(sig, "%*d\n");
|
|
169 if (skipping == 0)
|
|
170 fscanf(sig, "%d\n", &skipping);
|
|
171 else
|
|
172 fscanf(sig, "%*d\n");
|
|
173 if (pattern1 == 0)
|
|
174 fscanf(sig, "%d\n", &pattern1);
|
|
175 else
|
|
176 fscanf(sig, "%*d\n");
|
|
177 if (pattern2 == 0)
|
|
178 fscanf(sig, "%d\n", &pattern2);
|
|
179 else
|
|
180 fscanf(sig, "%*d\n");
|
|
181 if (quality == 0.0)
|
|
182 fscanf(sig, "%lf\n", &quality);
|
|
183 else
|
|
184 fscanf(sig, "%*lf\n");
|
|
185 if (threshold_noise == 0.0)
|
|
186 fscanf(sig, "%lf\n", &threshold_noise);
|
|
187 else
|
|
188 fscanf(sig, "%*lf\n");
|
|
189 if (threshold_slope == 0.0)
|
|
190 fscanf(sig, "%lf\n", &threshold_slope);
|
|
191 else
|
|
192 fscanf(sig, "%*lf\n");
|
|
193 if (blocksize == 0)
|
|
194 fscanf(sig, "%d\n", &blocksize);
|
|
195 else
|
|
196 fscanf(sig, "%*d\n");
|
|
197 fscanf(sig, "%d\n", &seed);
|
|
198 srandom(seed);
|
|
199 n_signature = NBITSTOBYTES(nbit_signature);
|
|
200 fread(signature, sizeof(char), n_signature, sig);
|
|
201 fscanf(sig, "\n");
|
|
202 }
|
|
203 else {
|
|
204 fprintf(stderr, "%s: invalid signature file %s\n", progname, signature_name);
|
|
205 exit(1);
|
|
206 }
|
|
207 fclose(sig);
|
|
208 }
|
|
209 else {
|
|
210 fprintf(stderr, "%s: signature file not specified, use -s file option\n", progname);
|
|
211 exit(1);
|
|
212 }
|
|
213
|
|
214 if (pattern1 <= 0 || pattern2 <= 0 || pattern1 > NPATTERN || pattern2 > NPATTERN) {
|
8
|
215 fprintf(stderr, "%s: invalid pattern type specified\n", progname);
|
0
|
216 exit(1);
|
|
217 }
|
|
218
|
|
219 // read dimensions of input image file
|
|
220 pgm_readpgminit(in, &cols, &rows, &maxval, &format);
|
|
221
|
|
222 // see if we can embed all signature bits
|
|
223 // we want at least half of the blocks untouched
|
|
224 if (((rows / blocksize) * (cols / blocksize)) < nbit_signature / 2) {
|
|
225 fprintf(stderr, "%s: image not large enough to embed %d bits of signature\n", progname, nbit_signature);
|
|
226 exit(1);
|
|
227 }
|
|
228 n_block = blocksize * blocksize;
|
|
229
|
|
230 // allocate structure to remember which blocks we already touched,
|
|
231 // allow plenty of room to skip over blocks
|
8
|
232 if ((coords = alloc_coords(nbit_signature * 16)) == NULL) {
|
0
|
233 fprintf(stderr, "%s: unable to allocate memory\n", progname);
|
|
234 exit(1);
|
|
235 }
|
|
236
|
|
237 // read in input image file
|
|
238 image = pgm_allocarray(cols, rows);
|
|
239 for (row = 0; row < rows; row++)
|
|
240 pgm_readpgmrow(in, image[row], cols, maxval, format);
|
|
241
|
|
242 fclose(in);
|
|
243
|
|
244 row = 0;
|
|
245 col = 0;
|
|
246
|
|
247 // allocate memory for one block
|
|
248 block = alloc_grays(blocksize, blocksize);
|
|
249
|
|
250 // allocate memory for zone classification
|
|
251 zone = alloc_grays(blocksize, blocksize);
|
|
252
|
|
253 // allocate memory for category classification
|
|
254 category1 = alloc_grays(blocksize, blocksize);
|
|
255 category2 = alloc_grays(blocksize, blocksize);
|
|
256
|
|
257 // set up category classification array according to
|
|
258 // pattern type parameter
|
|
259 for (i = 0; i < blocksize; i++)
|
|
260 for (j = 0; j < blocksize; j++) {
|
|
261 category1[j][i] = lookup_pattern(pattern1, i, j);
|
|
262 category2[j][i] = lookup_pattern(pattern2, i, j);
|
|
263 }
|
|
264
|
|
265 // allocate memory for slope calculation
|
|
266 slope = malloc(sizeof(double) * n_block);
|
|
267
|
|
268 // embed all the signature bits, one by one
|
|
269 n = 0;
|
|
270 while (n < nbit_signature) {
|
|
271 int xb;
|
|
272 int yb;
|
|
273 int blocktype;
|
|
274 double smax;
|
|
275 int alpha, beta_minus, beta_plus;
|
|
276 double mean_1A, mean_1B, mean_2A, mean_2B, mean_1, mean_2;
|
|
277 double mean__1A, mean__1B, mean__2A, mean__2B;
|
|
278 int n_1A, n_1B, n_2A, n_2B, n_1, n_2;
|
|
279 int var_1A, var_1B, var_2A, var_2B;
|
|
280 int zone1_ok, zone2_ok;
|
|
281
|
|
282 // find an unused block randomly, depending on seed
|
|
283 do {
|
|
284 xb = random() % (cols / blocksize);
|
|
285 yb = random() % (rows / blocksize);
|
|
286 } while (add_coord(coords, xb, yb) < 0);
|
|
287
|
|
288 // copy image block
|
|
289 copy_grays_to_block(block, image, xb * blocksize, yb * blocksize, blocksize, blocksize);
|
|
290
|
|
291 if (verbose > 0)
|
|
292 fprintf(stderr, "embedding bit #%d (= %d) in block at (%d/%d)\n", n, get_signature_bit(n), xb * blocksize, yb * blocksize);
|
|
293 if (verbose > 8) {
|
|
294 print_grays(image, xb * blocksize, yb * blocksize, blocksize, blocksize);
|
|
295 fprintf(stderr, "\n");
|
|
296 }
|
|
297
|
|
298 // sort luminance values in block to represent increasing function F
|
|
299 sort_grays(block[0], n_block);
|
|
300
|
|
301 if (verbose > 8) {
|
|
302 print_grays(block, 0, 0, blocksize, blocksize);
|
|
303 fprintf(stderr, "\n");
|
|
304 }
|
|
305
|
|
306 // calculate slopes of F and determine smax, the max. slope of F
|
|
307 // the index where smax occures is called alpha
|
|
308 alpha = 0;
|
|
309 smax = 0.0;
|
|
310 for (i = 0; i < n_block - 1; i++) {
|
|
311 slope[i] = block[0][i + 1] - block[0][i];
|
|
312 if (slope[i] > smax) {
|
|
313 smax = slope[i];
|
|
314 alpha = i;
|
|
315 }
|
|
316 }
|
|
317 slope[n_block - 1] = 0;
|
|
318
|
|
319 // block type classification
|
|
320 blocktype = BLOCKTYPE_UNKNOWN;
|
|
321
|
|
322 if (smax < threshold_noise) {
|
|
323 // block has noise contrast
|
|
324
|
|
325 blocktype = BLOCKTYPE_NOISE;
|
|
326 beta_minus = beta_plus = alpha;
|
|
327 }
|
|
328 else {
|
|
329 // block has progressive or hard contrast, let's find out...
|
|
330
|
|
331 beta_minus = alpha - 1;
|
|
332 while (beta_minus >= 0 && smax - slope[beta_minus] <= threshold_slope)
|
|
333 beta_minus--;
|
|
334
|
|
335 beta_plus = alpha + 1;
|
|
336 while (beta_plus < n_block && smax - slope[beta_plus] <= threshold_slope)
|
|
337 beta_plus++;
|
|
338
|
|
339 if (beta_minus + 1 == alpha && beta_plus - 1 == alpha)
|
|
340 blocktype = BLOCKTYPE_HARD;
|
|
341 else
|
|
342 blocktype = BLOCKTYPE_PROGRESSIVE;
|
|
343 }
|
|
344
|
|
345 if (verbose > 1) {
|
|
346 fprintf(stderr, "blocktype: %d\n", blocktype);
|
|
347 fprintf(stderr, "Smax = %lf, alpha = %d, beta- = %d, beta+ = %d\n", smax, alpha, beta_minus, beta_plus);
|
|
348 }
|
|
349
|
|
350 // block pixel classification
|
|
351 for (i = 0; i < blocksize; i++)
|
|
352 for (j = 0; j < blocksize; j++) {
|
|
353 gray pixel = image[yb * blocksize + j][xb * blocksize + i];
|
|
354 zone[j][i] = ZONE_VOID;
|
|
355 switch (blocktype) {
|
|
356 case BLOCKTYPE_PROGRESSIVE:
|
|
357 case BLOCKTYPE_HARD:
|
|
358 if (pixel < block[0][beta_minus])
|
|
359 zone[j][i] = ZONE_1;
|
|
360 else if (pixel > block[0][beta_plus])
|
|
361 zone[j][i] = ZONE_2;
|
|
362 break;
|
|
363 case BLOCKTYPE_NOISE:
|
|
364 if (pixel < block[0][n_block / 2])
|
|
365 zone[j][i] = ZONE_1;
|
|
366 else if (pixel > block[0][n_block / 2])
|
|
367 zone[j][i] = ZONE_2;
|
|
368 break;
|
|
369 default:
|
|
370 fprintf(stderr, "%s: invalid block type\n", progname);
|
|
371 break;
|
|
372 }
|
|
373 }
|
|
374
|
|
375 if (verbose > 8) {
|
|
376 print_grays(zone, 0, 0, blocksize, blocksize);
|
|
377 fprintf(stderr, "\n");
|
|
378 }
|
|
379
|
|
380 // calculate mean values for zone/categories
|
|
381 mean_1A = mean_1B = mean_2A = mean_2B = mean_1 = mean_2 = 0.0;
|
8
|
382 mean__1A = mean__1B = mean__2A = mean__2B = 0.0;
|
0
|
383 n_1A = n_1B = n_2A = n_2B = n_1 = n_2 = 0;
|
|
384 for (i = 0; i < blocksize; i++)
|
|
385 for (j = 0; j < blocksize; j++) {
|
|
386 gray pixel = image[yb * blocksize + j][xb * blocksize + i];
|
|
387 int pixel_zone = zone[j][i];
|
|
388 int pixel_category = CATEGORY_VOID;
|
|
389 if (pixel_zone == ZONE_1)
|
|
390 pixel_category = category1[j][i];
|
|
391 else if (pixel_zone == ZONE_2)
|
|
392 pixel_category = category2[j][i];
|
|
393
|
|
394 switch (pixel_zone | pixel_category) {
|
|
395 case CLASSIFICATION_1A:
|
|
396 n_1++;
|
|
397 n_1A++;
|
|
398 mean_1A += pixel;
|
|
399 mean_1 += pixel;
|
|
400 break;
|
|
401 case CLASSIFICATION_1B:
|
|
402 n_1++;
|
|
403 n_1B++;
|
|
404 mean_1B += pixel;
|
|
405 mean_1 += pixel;
|
|
406 break;
|
|
407 case CLASSIFICATION_2A:
|
|
408 n_2++;
|
|
409 n_2A++;
|
|
410 mean_2A += pixel;
|
|
411 mean_2 += pixel;
|
|
412 break;
|
|
413 case CLASSIFICATION_2B:
|
|
414 n_2++;
|
|
415 n_2B++;
|
|
416 mean_2B += pixel;
|
|
417 mean_2 += pixel;
|
|
418 break;
|
|
419 }
|
|
420 }
|
|
421
|
|
422 if (n_1 && n_1A && n_1B) {
|
|
423 mean_1 /= (double) n_1;
|
|
424 mean_1A /= (double) n_1A;
|
|
425 mean_1B /= (double) n_1B;
|
|
426 zone1_ok = 1;
|
|
427 }
|
|
428 else {
|
|
429 mean_1 = mean_1A = mean_1B = 0.0;
|
|
430 zone1_ok = 0;
|
|
431 if (verbose > 0)
|
|
432 fprintf(stderr, "zone 1 unusable\n");
|
|
433 }
|
|
434
|
|
435 if (n_2 && n_2A && n_2B) {
|
|
436 mean_2 /= (double) n_2;
|
|
437 mean_2A /= (double) n_2A;
|
|
438 mean_2B /= (double) n_2B;
|
|
439 zone2_ok = 1;
|
|
440 }
|
|
441 else {
|
|
442 mean_2 = mean_2A = mean_2B = 0.0;
|
|
443 zone2_ok = 0;
|
|
444 if (verbose > 0)
|
|
445 fprintf(stderr, "zone 2 unusable\n");
|
|
446 }
|
|
447
|
|
448 if (!skipping && !zone1_ok && !zone2_ok) {
|
|
449 // pathological case - can it ever happen?
|
|
450 if (verbose > 0)
|
|
451 fprintf(stderr, "block skipped\n");
|
|
452 continue;
|
|
453 }
|
|
454
|
|
455 if (verbose > 2) {
|
|
456 fprintf(stderr, "m_1 = %lf, m_1A = %lf, m_1B = %lf\n", mean_1, mean_1A, mean_1B);
|
|
457 fprintf(stderr, "m_2 = %lf, m_2A = %lf, m_2B = %lf\n", mean_2, mean_2A, mean_2B);
|
|
458 }
|
|
459
|
|
460 // calculate new mean values required by embedding rule
|
|
461 if (get_signature_bit(n)) {
|
|
462 if (zone1_ok) {
|
|
463 mean__1A = (mean_1 * (double) (n_1A + n_1B) + (double) n_1B * quality) / (double) (n_1A + n_1B);
|
|
464 mean__1B = mean__1A - quality;
|
|
465 }
|
|
466 if (zone2_ok) {
|
|
467 mean__2A = (mean_2 * (double) (n_2A + n_2B) + (double) n_2B * quality) / (double) (n_2A + n_2B);
|
|
468 mean__2B = mean__2A - quality;
|
|
469 }
|
|
470 }
|
|
471 else {
|
|
472 if (zone1_ok) {
|
|
473 mean__1A = (mean_1 * (double) (n_1A + n_1B) - (double) n_1B * quality) / (double) (n_1A + n_1B);
|
|
474 mean__1B = mean__1A + quality;
|
|
475 }
|
|
476 if (zone2_ok) {
|
|
477 mean__2A = (mean_2 * (double) (n_2A + n_2B) - (double) n_2B * quality) / (double) (n_2A + n_2B);
|
|
478 mean__2B = mean__2A + quality;
|
|
479 }
|
|
480 }
|
|
481
|
|
482 // calculate luminance variations
|
|
483 if (zone1_ok) {
|
|
484 var_1A = rint(mean__1A - mean_1A);
|
|
485 var_1B = rint(mean__1B - mean_1B);
|
|
486 }
|
|
487 else var_1A = var_1B = 0;
|
|
488
|
|
489 if (zone2_ok) {
|
|
490 var_2A = rint(mean__2A - mean_2A);
|
|
491 var_2B = rint(mean__2B - mean_2B);
|
|
492 }
|
|
493 else var_2A = var_2B = 0;
|
|
494
|
|
495 if (verbose > 2) {
|
|
496 if (zone1_ok)
|
|
497 fprintf(stderr, "m*_1A = %lf, m*_1B = %lf\n", mean__1A, mean__1B);
|
|
498 if (zone2_ok)
|
|
499 fprintf(stderr, "m*_2A = %lf, m*_2B = %lf\n", mean__2A, mean__2B);
|
|
500 fprintf(stderr, "var %d %d %d %d\n", var_1A, var_1B, var_2A, var_2B);
|
|
501 }
|
|
502
|
|
503 // apply luminance variations to image pixels
|
|
504 for (i = 0; i < blocksize; i++)
|
|
505 for (j = 0; j < blocksize; j++) {
|
|
506 int pixel = image[yb * blocksize + j][xb * blocksize + i];
|
|
507 int pixel_zone = zone[j][i];
|
|
508 int pixel_category = CATEGORY_VOID;
|
|
509 if (pixel_zone == ZONE_1)
|
|
510 pixel_category = category1[j][i];
|
|
511 else if (pixel_zone == ZONE_2)
|
|
512 pixel_category = category2[j][i];
|
|
513
|
|
514 switch (pixel_zone | pixel_category) {
|
|
515 case CLASSIFICATION_1A:
|
|
516 pixel = GRAYRANGE(pixel + var_1A);
|
|
517 break;
|
|
518 case CLASSIFICATION_1B:
|
|
519 pixel = GRAYRANGE(pixel + var_1B);
|
|
520 break;
|
|
521 case CLASSIFICATION_2A:
|
|
522 pixel = GRAYRANGE(pixel + var_2A);
|
|
523 break;
|
|
524 case CLASSIFICATION_2B:
|
|
525 pixel = GRAYRANGE(pixel + var_2B);
|
|
526 break;
|
|
527 }
|
|
528 image[yb * blocksize + j][xb * blocksize + i] = pixel;
|
|
529 }
|
|
530
|
|
531 n++;
|
|
532 }
|
|
533
|
|
534 free_grays(category2);
|
|
535 free_grays(category1);
|
|
536 free_grays(zone);
|
|
537 free_grays(block);
|
|
538
|
|
539 // write output image dimensions to output file
|
|
540 pgm_writepgminit(out, cols, rows, maxval, 0);
|
|
541
|
|
542 // write output image
|
|
543 for (row = 0; row < rows; row++)
|
|
544 pgm_writepgmrow(out, image[row], cols, maxval, 0);
|
|
545
|
|
546 fclose(out);
|
|
547
|
|
548 pgm_freearray(image, rows);
|
|
549
|
|
550 exit(0);
|
|
551 }
|