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
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
|
// Copyright 2012 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package jpeg
import (
"bytes"
"encoding/base64"
"fmt"
"image"
"image/color"
"io"
"math/rand"
"os"
"runtime/debug"
"strings"
"testing"
"time"
)
// TestDecodeProgressive tests that decoding the baseline and progressive
// versions of the same image result in exactly the same pixel data, in YCbCr
// space for color images, and Y space for grayscale images.
func TestDecodeProgressive(t *testing.T) {
testCases := []string{
"../testdata/video-001",
"../testdata/video-001.q50.410",
"../testdata/video-001.q50.411",
"../testdata/video-001.q50.420",
"../testdata/video-001.q50.422",
"../testdata/video-001.q50.440",
"../testdata/video-001.q50.444",
"../testdata/video-005.gray.q50",
"../testdata/video-005.gray.q50.2x2",
"../testdata/video-001.separate.dc.progression",
}
for _, tc := range testCases {
m0, err := decodeFile(tc + ".jpeg")
if err != nil {
t.Errorf("%s: %v", tc+".jpeg", err)
continue
}
m1, err := decodeFile(tc + ".progressive.jpeg")
if err != nil {
t.Errorf("%s: %v", tc+".progressive.jpeg", err)
continue
}
if m0.Bounds() != m1.Bounds() {
t.Errorf("%s: bounds differ: %v and %v", tc, m0.Bounds(), m1.Bounds())
continue
}
// All of the video-*.jpeg files are 150x103.
if m0.Bounds() != image.Rect(0, 0, 150, 103) {
t.Errorf("%s: bad bounds: %v", tc, m0.Bounds())
continue
}
switch m0 := m0.(type) {
case *image.YCbCr:
m1 := m1.(*image.YCbCr)
if err := check(m0.Bounds(), m0.Y, m1.Y, m0.YStride, m1.YStride); err != nil {
t.Errorf("%s (Y): %v", tc, err)
continue
}
if err := check(m0.Bounds(), m0.Cb, m1.Cb, m0.CStride, m1.CStride); err != nil {
t.Errorf("%s (Cb): %v", tc, err)
continue
}
if err := check(m0.Bounds(), m0.Cr, m1.Cr, m0.CStride, m1.CStride); err != nil {
t.Errorf("%s (Cr): %v", tc, err)
continue
}
case *image.Gray:
m1 := m1.(*image.Gray)
if err := check(m0.Bounds(), m0.Pix, m1.Pix, m0.Stride, m1.Stride); err != nil {
t.Errorf("%s: %v", tc, err)
continue
}
default:
t.Errorf("%s: unexpected image type %T", tc, m0)
continue
}
}
}
func decodeFile(filename string) (image.Image, error) {
f, err := os.Open(filename)
if err != nil {
return nil, err
}
defer f.Close()
return Decode(f)
}
type eofReader struct {
data []byte // deliver from Read without EOF
dataEOF []byte // then deliver from Read with EOF on last chunk
lenAtEOF int
}
func (r *eofReader) Read(b []byte) (n int, err error) {
if len(r.data) > 0 {
n = copy(b, r.data)
r.data = r.data[n:]
} else {
n = copy(b, r.dataEOF)
r.dataEOF = r.dataEOF[n:]
if len(r.dataEOF) == 0 {
err = io.EOF
if r.lenAtEOF == -1 {
r.lenAtEOF = n
}
}
}
return
}
func TestDecodeEOF(t *testing.T) {
// Check that if reader returns final data and EOF at same time, jpeg handles it.
data, err := os.ReadFile("../testdata/video-001.jpeg")
if err != nil {
t.Fatal(err)
}
n := len(data)
for i := 0; i < n; {
r := &eofReader{data[:n-i], data[n-i:], -1}
_, err := Decode(r)
if err != nil {
t.Errorf("Decode with Read() = %d, EOF: %v", r.lenAtEOF, err)
}
if i == 0 {
i = 1
} else {
i *= 2
}
}
}
// check checks that the two pix data are equal, within the given bounds.
func check(bounds image.Rectangle, pix0, pix1 []byte, stride0, stride1 int) error {
if stride0 <= 0 || stride0%8 != 0 {
return fmt.Errorf("bad stride %d", stride0)
}
if stride1 <= 0 || stride1%8 != 0 {
return fmt.Errorf("bad stride %d", stride1)
}
// Compare the two pix data, one 8x8 block at a time.
for y := 0; y < len(pix0)/stride0 && y < len(pix1)/stride1; y += 8 {
for x := 0; x < stride0 && x < stride1; x += 8 {
if x >= bounds.Max.X || y >= bounds.Max.Y {
// We don't care if the two pix data differ if the 8x8 block is
// entirely outside of the image's bounds. For example, this can
// occur with a 4:2:0 chroma subsampling and a 1x1 image. Baseline
// decoding works on the one 16x16 MCU as a whole; progressive
// decoding's first pass works on that 16x16 MCU as a whole but
// refinement passes only process one 8x8 block within the MCU.
continue
}
for j := 0; j < 8; j++ {
for i := 0; i < 8; i++ {
index0 := (y+j)*stride0 + (x + i)
index1 := (y+j)*stride1 + (x + i)
if pix0[index0] != pix1[index1] {
return fmt.Errorf("blocks at (%d, %d) differ:\n%sand\n%s", x, y,
pixString(pix0, stride0, x, y),
pixString(pix1, stride1, x, y),
)
}
}
}
}
}
return nil
}
func pixString(pix []byte, stride, x, y int) string {
s := &strings.Builder{}
for j := 0; j < 8; j++ {
fmt.Fprintf(s, "\t")
for i := 0; i < 8; i++ {
fmt.Fprintf(s, "%02x ", pix[(y+j)*stride+(x+i)])
}
fmt.Fprintf(s, "\n")
}
return s.String()
}
func TestTruncatedSOSDataDoesntPanic(t *testing.T) {
b, err := os.ReadFile("../testdata/video-005.gray.q50.jpeg")
if err != nil {
t.Fatal(err)
}
sosMarker := []byte{0xff, 0xda}
i := bytes.Index(b, sosMarker)
if i < 0 {
t.Fatal("SOS marker not found")
}
i += len(sosMarker)
j := i + 10
if j > len(b) {
j = len(b)
}
for ; i < j; i++ {
Decode(bytes.NewReader(b[:i]))
}
}
func TestLargeImageWithShortData(t *testing.T) {
// This input is an invalid JPEG image, based on the fuzzer-generated image
// in issue 10413. It is only 504 bytes, and shouldn't take long for Decode
// to return an error. The Start Of Frame marker gives the image dimensions
// as 8192 wide and 8192 high, so even if an unreadByteStuffedByte bug
// doesn't technically lead to an infinite loop, such a bug can still cause
// an unreasonably long loop for such a short input.
const input = "" +
"\xff\xd8\xff\xe0\x00\x10\x4a\x46\x49\x46\x00\x01\x01\x00\x00\x01" +
"\x00\x01\x00\x00\xff\xdb\x00\x43\x00\x10\x0b\x0c\x0e\x0c\x0a\x10" +
"\x0e\x89\x0e\x12\x11\x10\x13\x18\xff\xd8\xff\xe0\x00\x10\x4a\x46" +
"\x49\x46\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff\xdb\x00\x43" +
"\x00\x10\x0b\x0c\x0e\x0c\x0a\x10\x0e\x0d\x0e\x12\x11\x10\x13\x18" +
"\x28\x1a\x18\x16\x16\x18\x31\x23\x25\x1d\x28\x3a\x33\x3d\x3c\x39" +
"\x33\x38\x37\x40\x48\x5c\x4e\x40\x44\x57\x45\x37\x38\x50\x6d\x51" +
"\x57\x5f\x62\x67\x68\x67\x3e\x4d\x71\x79\x70\x64\x78\x5c\x65\x67" +
"\x63\xff\xc0\x00\x0b\x08\x20\x00\x20\x00\x01\x01\x11\x00\xff\xc4" +
"\x00\x1f\x00\x00\x01\x05\x01\x01\x01\x01\x01\x01\x00\x00\x00\x00" +
"\x00\x00\x00\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\xff" +
"\xc4\x00\xb5\x10\x00\x02\x01\x03\x03\x02\x04\x03\x05\x05\x04\x04" +
"\x00\x00\x01\x7d\x01\x02\x03\x00\x04\x11\x05\x12\x21\x31\x01\x06" +
"\x13\x51\x61\x07\x22\x71\x14\x32\x81\x91\xa1\x08\x23\xd8\xff\xdd" +
"\x42\xb1\xc1\x15\x52\xd1\xf0\x24\x33\x62\x72\x82\x09\x0a\x16\x17" +
"\x18\x19\x1a\x25\x26\x27\x28\x29\x2a\x34\x35\x36\x37\x38\x39\x3a" +
"\x43\x44\x45\x46\x47\x48\x49\x4a\x53\x54\x55\x56\x57\x58\x59\x5a" +
"\x00\x63\x64\x65\x66\x67\x68\x69\x6a\x73\x74\x75\x76\x77\x78\x79" +
"\x7a\x83\x84\x85\x86\x87\x88\x89\x8a\x92\x93\x94\x95\x96\x97\x98" +
"\x99\x9a\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xb2\xb3\xb4\xb5\xb6" +
"\xb7\xb8\xb9\xba\xc2\xc3\xc4\xc5\xc6\xc7\xff\xd8\xff\xe0\x00\x10" +
"\x4a\x46\x49\x46\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff\xdb" +
"\x00\x43\x00\x10\x0b\x0c\x0e\x0c\x0a\x10\x0e\x0d\x0e\x12\x11\x10" +
"\x13\x18\x28\x1a\x18\x16\x16\x18\x31\x23\x25\x1d\xc8\xc9\xca\xd2" +
"\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8" +
"\xe9\xea\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xff\xda\x00\x08" +
"\x01\x01\x00\x00\x3f\x00\xb9\xeb\x50\xb0\xdb\xc8\xa8\xe4\x63\x80" +
"\xdd\x31\xd6\x9d\xbb\xf2\xc5\x42\x1f\x6c\x6f\xf4\x34\xdd\x3c\xfc" +
"\xac\xe7\x3d\x80\xa9\xcc\x87\x34\xb3\x37\xfa\x2b\x9f\x6a\xad\x63" +
"\x20\x36\x9f\x78\x64\x75\xe6\xab\x7d\xb2\xde\x29\x70\xd3\x20\x27" +
"\xde\xaf\xa4\xf0\xca\x9f\x24\xa8\xdf\x46\xa8\x24\x84\x96\xe3\x77" +
"\xf9\x2e\xe0\x0a\x62\x7f\xdf\xd9"
timer := time.AfterFunc(30*time.Second, func() {
debug.SetTraceback("all")
panic("TestLargeImageWithShortData stuck in Decode")
})
defer timer.Stop()
_, err := Decode(strings.NewReader(input))
if err == nil {
t.Fatalf("got nil error, want non-nil")
}
}
func TestPaddedRSTMarker(t *testing.T) {
// This test image comes from golang.org/issue/28717
const base64EncodedImage = `
/9j/4AAhQVZJMQABAQEAeAB4AAAAAAAAAAAAAAAAAAAAAAAAAP/bAEMABAIDAwMCBAMDAwQEBAQGCgYG
BQUGDAgJBwoODA8PDgwODxASFxMQERURDQ4UGhQVFxgZGhkPExweHBkeFxkZGP/bAEMBBAQEBgUGCwYG
CxgQDhAYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGP/EAaIA
AAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKCxAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh
ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNk
ZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT
1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6AQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgsRAAIB
AgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBka
JicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZ
mqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/dAAQA
Cv/gAAQAAP/AABEIALABQAMBIQACEQEDEQH/2gAMAwEAAhEDEQA/APnCFTk5BPPGKliAB718W7H2j3Ip
VUuwJxzTfKXacde9VBhYRUBAyO3pTmUAbSMU5WGmybywzHGAMdelPVFC+n1qXZCuyaJADxjj2qzbBMAP
xz1rKaVib6ltLcFvlIx2pLy0dwuAMMBnH1rFON9RNsszAZPFEYHldPzrOy3KewmBk9qUABugxjtTVmiW
xWRcjp+VJtHXgVL3K6AgBDdM9eRTNzAZViOe1VyxaJavuf/Q8aW4mUcSGpo764AyHz+FfnnJBvVH1UsN
CS1Q/wDte4Trip49ecA7g3FSqMW9zlqZandxJ4/EKADcSPqKni8QQMT865qOSUNjiqZdNbFiHWYXz84N
WE1KNsfMKj2zirHHPDSj0JFvo2H36d9pUjg1sqykYOm0KbgY60omXPXmr9pFkco3zBnrQzjGcnrRzp9S
bEbuOvao3fisZSXUpIYWGKGcbetTCSswsxnmACkYrtNSpJ2YNM//0fnK1BD7sDg9KmUHeOe/Svid3qfb
SdmQ3AHmnr1pGBC5z19a0hohNiJkensM1J0yCKmY0yZR82e+BT1BxnpmpepN9SRCR0NSpweOoPWs6isr
ijuWIZGBA/lVwzMVFY8ibuhXEfr+tOz8hIqUymhRnJGTSc5wBVRRDFPXBHJpB3qdmV0EX7vXmoyfl685
p2dxWR//0vFsHZ9TQv3T618Bqz7PSwwn1phPXpSWrQEUhIx0NVXc7j0rSNwViCS4dWYpJj3BpBqVzGy7
ZmHSq9kpblSpxkveQ+PX7uMf6wEDtU0fi24TAkX8jTeCjJaaHDUwFN7aFq28aL/GCMGrtr4xtHGGkA+t
YTy+a+E82eAa2LsXiWzI5mXPHercOsW8hwJB+dcUqVSCOKVFxdmiwl7E2MOPzp4nQ9GH51jzNbmUoOIC
TI4okOaUXoybDCevNBPHX8qIO4mf/9P52i4dix5zjp/n1qZFBCmviL6an2kt9CGcYnJznJpOBwegq4vQ
L9xIUytSkfu/bv70p7j6EnQgjHSpFGVqXclkkaHb1+makUHgdazm7IFuSKOasrnjis2+oDm9qnIHlgd/
es7gxqjkt1NLwH4xTTEhjkhutM3D15oGhkcnBGRTDKu3A7H1rS3cLn//1PEhJ8uM557UvmDaa/P7a3Ps
xpZcZ6mo5WG45pdUC2K8ko5JIzWfcTqu7HPHrW9OLbKWhSluVLNz3wKrS3I3KfcV1Rg9CrpXK8l0F7io
pLnLnJHGOldMYJGMpu5XNwuxjyRTBcAAjd1HWtfZmPORy3WAWWQDOM4PWtHRru6DFlmY88ZqKsVyXaKp
QjOoa7axe28G/cWqhoHjO/n1WeJwSkS9c981wUcFCopPayFj8JC8VFbs6e38VldvmHHFaMHimAoCzDB6
V5U8FKz5TlrZU4/CXYtdtnXIarEepW7jAcfnXGqEoKx5tfBzh0P/1fnqEAsc/wB6pI9owAD1618Qn3Ps
35EE4UzHrx79aXaMcdaqAMWIADvj271IMeXg59KUmNLQkUDfjb1FSLxzg0pWJRLGAQAeMVIoA+uaxlaw
0SoF/u1KowwwDUcwuo9wMjrUrY2ZPOKy0KY1T1NMdwG/CtBEFzMqnIPNUZ75FBJP5mtIQvYfoU21JFVs
N271AurRE/e611xw73Yj/9b50GsQhOXHWnpq8JX7w4PWvjPq76H2fzHjVYCud9Q3GrRAZDUvq75kNbMz
7vV0zjdjNZ82pqzMcj7tdlPDtIiVWKKct+AxwRxUbXi7VPJAIrZUdEZOsrsga8DFgelQtd98g5P6V0Qp
GE6qIUut2cZ470kd2FjYc4Oce1bSpJ3Rzxq21GNcDZhSeg710ujKRbKzAg5rkxceWnqd+XtOo7bD9cl8
qxLDPHasXwUvmyXU7Lgl8cegrnw2lGbZ14l3rU0bl3gMQCRgVU1y7WytUZQzMRwBXPRhzWRvVny3ZW8N
6xPdXBikiZc5IOa6GG6nDsd5xnAyfaliqEacrGOHarx5pI//1/nuL754HWngEkYx1r4VWsfaMjk4mP8A
OgnjPH1rRMLKwR4A2jH1FPA+TNRIa0ROvQcY4p4GF/pUskmi6+gqRACvPrWMnpca3JABjFSKCQOnFS2u
o7E3XBOKcR8ucdKzUkDGSHGemKpXchVuP0rSmDMfUrl1J5rn9TvnVCc9OtelhoJtDekW0Yb6pId3zdRw
RVT+0pAPvc57CvbhQVrHlTxD3P8A/9D4tbUpTH1I7cU/7ZdMnyqcdsV5vsErXPbWJbHLdXzYQDBY8c02
6udQjyGVuD1FHsqfMridepZ6ED3s4IDqeD0I68VEt7J5hy3GO9aKkuhPt2BumeRjnv3pJLlgwBYE8ZqH
T2GqujYLcuWYbhj0zTHm5B/vcGtVBLYzdRtEcUueoGB3FOjmBjcBhx2NNx1IhO+uwtqd93EgA5YcV32n
IqwrnAz2rzMx+FI9nKldy+RmeMpfLs8DGTxTvBUKw6Csjry2WPbrXHB2wzfdnbUu8SvJF4xh1LDAJNU9
UtVmDs3IiGB6CuenNx1R0yjfRGd4aRTqJdFG1ARXRgANg4/yK0xbvJehnhlaL9T/AP/R+e4x8xx609F+
YZ718L6n2ju2RzqTKcYpQMjsc1pHTQWlgjUjGVH0qbkr0BqJSKRMi+uBx3p8a5HYVD8yb32JY15FSKpx
nisp6RuNbj1BzUyrnkmo6FEqrz7U/advHOazvcRHIuSazNXDpbSSJjeqErnpmrp6CueeXusahO5zKi8c
7VrPuGklUiSQtkd6+po0YQs0edVrTd1cqeSoJOB0xUCxpnouAecV33e558rbH//S+KdmFHTk1btywUqc
YNcEnfc9SGl7DyAJ1AHIParx+YZ4/Guea2OmC1dhGjQn5kXNQtbQFiWiTlfSoTa2G0nuU5bG2aQ7V2jP
JU+1RSaXC2GjuApyOorX2slYz9lF3sV/7MmViFljaoJLG6SQbkyDXQqiZzyg1Yg8i4jBJjIBpsaPyXXB
Psea1TTMJJqysaeh2u/UUfP3QCBXdQJtTpivFzKV3FH0WURtCT8zmPHcrhkRSOWro7O28rRYIgOwGB3r
mnph4+bOxNvEy8kWFi+ULxwKzNRkMemSPj/WMT+FckNWdLv0KPhCMmGSZl6k1ulC3zY5x2+la4r+IyKH
wH//0/nuIHB9c9KevUAHk18La60PtHuRy/64+lOGBniqXcOlhUIxwB+NSrynSpndFImQc4A7d6lQccdR
WcyUyWMccDnPSpVAwM1nLYaeo5BjrUyjFTugJIwd2Kfgkc59qyTs7Axkigqao3qBkYdiMVpTeugHmF7b
hbhl2/dJB/OofJBTHfp9K+ppTbimeZOK5issYG5W7VWdBnHXB65rrjJs5JLof//U+LYtu7leM+lSpxIR
7VwO90eskrNkqZLo3PXHoausxI4wa557o2p6JitnOCoqvI3zEkdF5qIrUuW2ogO1iWHeibazIQncHA+l
DT0aCyaaZGNm8kA9PSl2qy9SB78Veq1ZCs9BkOGUrj86zdQGbllVMAe1bQdpGE1eBo+FoCbgtxkY966+
E4hOeo5rycxleR72VwcaRx+t/wCmeJ7WAdDIOPpzXbSpt/dkcRr+tZ4j3aVNLzNKOteo/QjuiY7Jm6Ej
ANYnitvL05YRxwOf8/WuXDK8l6nVUlaLZb8NQeXpijgZB/M1oIpyPzx74pV2nUbHTVoJH//V+fYhgnnv
Txy4GBXwse59m7kMyEzkj8qkQfKatdgewIo7nIqdQAnXms52RSehMoHHPapY1wMAgVnKzFtqSwjjg4qR
VJHXIzWc2rDiPVeeD+FSDqKh2sBKo54p+Pl61jbQG9RrDIPNU7teT6VpCztYDzfxGskWtXESdN5Pp15q
gN2GZpB0r6ig17OL8jz535miCSPdnaxHHpVV48D7xIB7iu2LOOS7H//W+MCoeIDcc5p4VhIMDkDvXnpq
+p6zu0SwZZlVm6HJFWyRg89MdawmkmrG1NtpiMcY5OevFQ7AWOT0FSkkU9UKUPmEh8jt+VMdGLDLYAIz
xUtrQfLo7Mj2SHjePrSspxgEk1rdGSTGJjymLEZArOjAd5GLHk9DW0NGznqa8qOj8IRHBbrnnmugu08u
1ZiSMn868LGz/eH1GAVqKOW8LR/bfG4c8rCCx46HpXZspk88jHzMf04pY7eEfIjDO7nLz/yKmqh/sjwR
EFwAemcVhamkmpTRxKpyCN2RWeFsveZ01FpbubsEaRWyqhAxnH5YpxIx8rf/AFuK5W3Jts2Wisf/1/n5
SSxHOM+lP7jGa+EVz7R2IpATN1IIpwB55NaJ2FuhYzx3PvU69OQaio7sEiZOvfpU0YwmMVnJ26DRJH2G
DipUyR361jN6FIeq8/0qUdBxWbkCRIg/D6U8j5e9Rza3ExrA8nmqt0Dkmri9BnnfjlSmvuwGQyhulYkr
yL86DANfTYRp0o3PPr3UnYbBOWU4zz7VHIGIJVjkGu1x5Tl5ro//0Pi3fhgMHJPXFWCeQwLe9ec+jPXj
1JIM7gw44qy+WPUjkcVjPdGsNmgdsNkjJFQ7mMhAB5FRHuXJ6WRIw+VwCc9KbtPy5JyCKgdmxhBDNj8s
U1Cyr0J/rWultDOzTuMuSiWjlT97r7HFZ1nkk4bIPXiuiD3uc00rqzOy8Lw+XBuJPQcGrXiGYJYMwJHB
xXz1d89U+sw8eWmkuxi/DGP/AEm+vHycYUE/jXXu6w2vzdcfiaMw1qpLsjnwi/dt+bKCn5nlw2W5Gacw
GD2wB+dcq2O4AnyADoM80QLukUsp9f0qb6XHuf/R+fkOWNSfwjnivhUz7Nq2hFJ/retPA4PWrWuwul2L
FjAA6VMMFeTms5PUpbEw6/hxUyfd4as5PUETRds9KlA+Xk96ym9FcaHJgGpOv1rPUpIkXg8mnNnGaz5r
aCaEPeqtx1OT0rSL2sC1OG+ISquoQuT1UjP4/wD16wGEZUYGPevo8E26UThrpc7G7ICDzg+1ROmF+91O
K7VKVrHNyxWx/9L4uuVAcH371JvKqScFPU1597pHqtWbZNZnc+QxI9atv8p4z9ayqPVI1pr3WyPBLDGf
qKYnExyeQKlFPQXH7zgdetSk8rgEnis29i0lqxijLEjjt1poU7iVHHpVX3uRbsZl+2IvLX+I56U/TUUA
KxGSfSulu0XY5oq80drpcZSzHvjpWd47fy9O2g8kjpXz0ZJ1kvM+skrUnbsSfDm1C+HlfJ/euXIPRq3b
lleQRYBCg5HrSxk+au/IxwkbUokRw0u0cBFyR70wEEbm6sc/gK5YuyZ1PzFVgVG4ZIzmpbTaJMt07+3F
Q9i7n//T+foic55yTipRkYBBxXwaPtXuRyZEg4pWII4qk7C6BFwAf51MhG31+lZ1Frca2LKHn8qlDY6L
UNgl1Jo+2akQ9BWVR9xpDgffrUq+wrO7tdDsSIPUUpPHvUK1xMM8HA61WmwWOB+NXENjiPiMhE1sw9WH
8q5vqRnjivosD/BXzOKv8QkKgZBA6ZpV27MkDOa7ObsYI//U+MdVGxlK9zninqd1sCQM45rzYaxR68vj
YtgT5h6jvV6Q5X0+lZ1n7yLofCxhOenfFMTI3cdRzWV9DWw5ARI3qPSnMSqKCOSRUy6FRurjFLjPp9KA
xx06n1q1qjO70Me6YtcOOcKcH1q9oqF5l75Oea6KtowOagnKol5neWcSJaocdgRzXGfEm53ERKfvEV89
gvfxCPqcXLlw8/Q6fwkph0aCEg4VB/KrsDbmcnA4PWoxFnVkxUVaml5IgR9sMj4+ZzSTuTjcOB0/CsUt
zo0VrhCQiF2GcAn/AD+dWLRlYZPQ8cVEk7aF+p//1fAIuvfOakxnr+NfBJ2SsfaN6jJRiUA9RSheCMfn
VXEtgjUk/wBTVgfdBwOfSs5stbE6g7unYVLGpwAazYvUmjHHanqDx061lLazKuh6DHBFSID27VEthkin
5cUHOPxqLvqJiEYziq8/FaQ8hHH/ABEVvIhYYyHNcsrSZG5RyOtfQYC3slfzOPEX5tAA+amHIjO31ruu
rHNa7P8A/9b411QMIwSDnNR2xYQNkjnnkV5sLctj15JqRLZjBzweeSKuycHkD8qyq6tF0rqLI2OTnK5p
sGWbBHQd6zWxo3qSdXLYxTpPvLnvjrWdr2LvuNYYUnj6Uxyu4/KMrVx6ky6GOGLSOwXIYmr9n58UQeFg
svbcCRXTVty2ZzYZOVRcpvDW721tv9LsBIpAHmQNn9K4zxPqSX2sK6hljDDO6uHBYWKre0i9PxPTzDFS
VDkmtX9x2mm65YG0REnTccAc1rx3EJgbbIpyvUGuDE0JxleSO+hXhUj7rGK/7uNcj1P6UmSU+fHPJrlS
5bnXe9mA/wBSQDxzkfh/+qp7YbIipbaOufwrN7WLR//X8DTO7I9e9SJnAIHNfBPY+ze4yQEPnGacoHof
amvIELCDnnqanXoBzUSaRSRMo5J744qRBxzUSelwRPEMingdsVk7pFLckA5p44OTUXuh2HqOKRskE4qV
sKQADkYqvcj8aqD0shWOV8fqDYqc4w4rj5D365Fe7lz/AHdjlxC11CNhyRnp0pqkYOc9a9G/c5bLof/Q
+OdUH7sDnOeKrREgEN6V5tN+6exUT5rlm1IC9ec9qssBg5xzjNYzdpJmkNtRhJzgflSRDqD6flU7FkqZ
55+holblfUVk90aLYYxJH3agvGCQPkjJ6DFaw7GMtrmdYpkcg1q6fsEwB6Ct8Q73M8DpKLZruu+3ZM43
ADNctfeHt120cEjO3U7scmuDCVvZNux7GLw31iNmypLoN5byByrYzzxVfzdTtXcxzSAD3r0oYinW0Z41
TB1cPrBlyy8S6nF9+QOMba1LbxepwsyFcYztrnrZdCabgb0MzlCyqGrZ+IbK4U7bgDg8E4rXtL+CQBfM
VgTn9BXi1sJOno0e5SxVOqrxZ//R8DiGScip0HOAOa+CfkfaDJV+fpRjBIxT6iHRjnIHFTAYXBIqZ7lK
1rEygZxUsYI68Gsm7gkSQ59PwqZRxx681lK/LYaHpjI7U8ge1ZK3Qdxw5XpijAOelGoNCDPOOaguOf8A
CnFCOa8cJu0uTI6EHH41xLou3gYBr3culaLXmc2JV7DIx8pXHFNAxknGc16b0OM//9L44v8A/V5wMiqy
/dbI6j1rzKb0PYq7li2C4HHHrVmT5Rx9ayqN8yLppKIwEj6+lPhAGfzNQ9rmqexKvcAYxTTjeM88isty
xhI3mqWrNwqADB5ranozCo9GQaeBjByR1q2GIzjj2rasryMaErRVieK/kjwHbIGOBVrSbtZNRmlfAB+U
ZP0/wrinQsnKPY9eljVJqM9zYgMTMAjoRnoRUV3ptrMrl4UY+o4rzIzcHc9Nx5kZc/hu1lUlBszWPqHh
Z1lYxHJHQZr0cPmElpI87E5dCptoZl1o9zADuVhwfaqqz39tIPLeVMDoPpXqUqsKyPHr0KuGfun/0/Bo
Rzlh+lToOBXwGltD7RjJQcjtSqODn9RVLyEEY96nVflzis6l3YpaEigdscCpl5XqeKiaVgJIhn/61Sgc
AdOaylqkyluPXv7U8gZx/Koih9R+ML1ppHynIoRLEAqKYZ6njFVHRXBnP+Lk3aXN0yFz+tcM6j15r2cv
ejOfEdLjMDb94ZHaoyvy9O/Y16mqOQ//1PjfUcBcnjJ9KqggRldo579682krxPWqO0i1AM7c59OlWJMA
/lWVTdGtJaNiLg89afCMkjOOO1ZtGu5IpCs+emf6Uxug6Y45rO3UruiFmKydvrVK8ZZLogAn+ldNOPU5
pvox1pH+7JzhumKlVfkOckmnNq5MI2SGScE5HTBqWDcBkMvJ6CpuraFWd+w3ULqW3gMsb4fOOO1VNP8A
FGoxsyy7JFA6kYNKGDp1Y+8aSzCrh5e7qjesPE9s8eJh5eRnIrShvbG7AMUqZ+teVVwU6TbWqPaw+OpV
0lezJWgV4yAVYc8GqV5pFpMMyW+O+V+lc1KtKD906q1KMlaR/9XwqPg9e9SqOQQetfnyfc+0Y2UfOKFy
B25q1K+grCx564FTL93rilMaRKvXtz7U9OnfrWbtbQdyaLoOtSr/AFrOSstCl2HLnPNP5z1qNEA9s4FM
7daSVhMAcZzTJlOD1prYDC8VoTpdzjP+rbH5V5w/nDkj9a9rK2mnc5sVeysQxmYMd4wDUkLM3LZFeu0u
hxan/9b44v8AG35cnnNVArKM+tefS+HU9WoveuizCQCBuOT61ZcnGcgmsZrVG1N3TGrk4x3qWBQGPUHF
RJspa7kjAFmwOp6Y9qSXPyDtkVgnsa9yFxhWYrj2rJUtJcFgB75rqpSvc5K0bWSRetV2Rg98c8d6UZCs
M8AZPNTLWTuVFWiiIgjcBnDY5NToCsZAyDnqKUrtJDitWUfETbYI1Ixz7ZNYkXyzMAMevHSuvDfCceK3
NKGIG0Ppj73pVdi0F2MMQDj7pog7uSYTXKotGxYajeQwA/aHOAeG5zV6HxJLCdk8KuvTK8dvSvNq4OFV
6aM9ajmM6SSlqj//1/DIOpHGaljG4cYH4V+e62PtWEi45pvzcjIwKuLsS9RYwM9s1Jj5Md88molqUnYl
Xlue1SryKlpodiWLGB6GpBWU9FcEPQd6eBgjNRYpCn7opDyM0Ru9RMQdxxzSODVR12F6mTryFrWVcfeU
j9K82ctvxxXrZY7XRjiF7qEjUHgkYFQuuCeB19K9dO5xSSsf/9D44uwSmM556VXkXMJHGenFeZTvoexN
Ilg4bBOTjrip5uQcY4x2qJ3ckVDSLQ6MdCPpT4uGIHGOaze1jRJbkjFgDgYpjEgqxI7dqyWhpuQ3rkQS
HjpWfaR9/wCf1rqp6RZy1Peki8MGMfNx7d6jc7Yyc4ye1JptjvorjBneDw2QMVPEHBIOFwR3qbXF5ox/
EDl71U4ODiqDrjJABIrsoaRSRx19ZNmrbD/RgScAjsag1CF9pcBTxWMXaTNZRbirDrF3CbSQTg9f5U+Z
QJxwFBA/lRZc1yrvlsf/0fD4fvE1MnYk/nX5/wBD7R7iP1yMdaQLzRF9LCa7hGvOf0qXHy9qUtxkgXnt
UqDk0pK7sCfYkUcYA6VKnIFYzWha7jhT1Hes42TsC1FIyOlNYEU4oT8hB3pGzt68U1tYVzP1IZQ56Yrz
e6UC5lUrwGOB+Nepl3xNGddXiV0Y8jGPw6U1slSCec9a9m6OCx//0vji/wAiMY45qux3Rbh/KvNprRHr
1N2iW3z5gHY81ZnA3AnipqfErF01aDuPhwXAPHSpME7jyOK53pKxt9kT5vmB4IPHFMkwcEnkkVPkPpqU
75zt8sDBJ+tNtVCt8x59q6rWi7HKneSuTxAhCAQOcc0yQEA4br2FRfVqxfK7LUYw4weCu3n1qbdiNmOM
EgY9KV9CXo2YF+VMyNx8zE5qMgsrhccdq7obK5xT3aRdtTi2VmPGMdc+lWJgr5XAGMfrWElq7G8XsmUx
C8ZJjOQQcgdakVXZxv4PbjvijmTJlBr7z//T8RjIGPc1KhXqPXivzzdH2bWoSD5sg4INJwRzz9aEw2BM
dM5qTjb60SdykSA88enepEOOKU31EkTREdqkH54NZT1Ra0Hd/SnHip0Q/IVjwPWmsePehPqiWC9T1pHH
B5oTaFYoaiOOn415tqm4X842jiRh+tenlvxMzrfCV05JLDHTgD3ppYFCB6/Svb1aOHbc/wD/1PjnUv8A
Vct3qq53IMeleZDZM9ipu0SRYDAkkewqxI24+w6VM90EL2aJYCN5AbgY/lU0R+9z+FZS0N076DZSNzc5
yc0xyoUfh25qG9mU7XZnXLZuTgnaKsW4zjqRnriuiStHQ5Y/GOxgEVFuwpBA9+MVKsytUOjILcZ7daNQ
ZEt3O7k8fjU3ldDbVmc/cPm4QYA/rS8gMD2zz6139EcF7tli2lVIAhVsYPap45lZiFG08DnrWLT1Ztde
6kidMGMZHGD3pkqjcOcZ447cVjF6o0nZxbP/1fElB7HOD1qVQOOtfnSVj7VsRwNx60Ywp4PFOCVwvoIg
HB9e1SAAjGcUpa7AiQDkf0qRRxgZGaUrWuwJYwOByalXGB6A1nOzRS3FAI70/GSOtTtuMVunemHGKUe1
iRRgk0hwKqPkDZS1DkYFed+JEEWs3Q5GHz9M816GX6VPkZ1V7pQibOck8jrUbgDIA4r3epwJ6an/1vjf
U9vl43YyelUwR5RGTxx0rzaauj1qrSlckiA3D5j071aYjccnHSlJXaHDZsntzkY3Z96lQjnnt9K55I3T
GsRyDnI9ajfKKOemDxio7Iq+7M3JeVieSecYq7AMKF3Fj6V0zVlaxzQfvXGDpy2McdajjydwIO2h2Hd6
ND41G8nAGMdD1qLV2zAFORl+R1qEtVcTdkzBl5vSCMgNwKlVG3MFJ4967r6I4bO7JY1BjJJ7Y6dDVqyQ
CYkqTjvWEn7rN1unYtYQLntg9+tV2+aQBlbPTHrxWNPzNqux/9fxWMDP41IoUYr87WzPs3uEgBJ9uKAB
tINCSbDoJGAMcdKkAG04/KiSXQpPQkXGcY7VINp56VLBbksYBxUgAx0rOadrDT7C45pxA4wKVkUhX7ZF
NODzRG1iGAA5NIwGeB1FNLuBTvEBI7V5/wCNFP8Awkl1tIABUdP9kV35cl7VehFbWBlxbNuD8x9aY20Y
xjOa96xwWstD/9D451XAhBOOTxVRlURdOa8ymrI9epu2SW23cMgDHb1qw4BcrgY9KJ25kOn8LLFsArYG
McVIu3GdvOOTWLV2axeliOYgM+FzmoL1isAwME4GKVloDvqVoI9zEEAMMGrbIAmFUdcZrSbS0MqcWQBg
0WMg4PalhCFCdpHWiXUFZtaDtqhywBwMY9Ko6sR5oXPTn2p09WianVIyEYebwMEnPNTL5eXBA4Hautp6
WONSWt0TQMhUgjKj1q5bhQWKMDwBxWE20mbws3ElXy9pUEDqMd6hfaHUgE7B2HtWUO7NKiVrI//R8Vj4
br37VMuT9TX55HY+ze+gMM5PSkzwR1AoWu4IRRg9akPC8HpSlfRFLXYeCN3TkipV60ulmBJGeR71IvTP
Ws5K6Ghwp3FQkMH6elNJ461didOoq9SaRjxSjqwuVbgZkH1rzrxWwk8QXj9hIR+XFejl1nVt5EV/gM2I
qCTjPTH50x+eRxya961tzzt9j//S+O9WJ+zjgDmqJYGDJYZNedSSaPXqu0tew+L7wPTvmrBO5x7Y5qZf
EnYUPhZdhUZyO3pTgcOxGOR0rnbu7M6fhK9yVEvPy59O9QX75VBjnIoS+ETa95DLbdu6nnp7VYGSMk59
vxrWemxlTZCvMe4BTg/nSRKHVsjGfpSe90C1VmTsG2H2x3rF1J1eVxgcHr+FVQWtyK7srFGAgOrHqDnp
7VPGNzO/O3kkCut7pnGno0idCCNyt6Crca5ZiDjpgVzXsnc6X71rDyBgcbtucn8KhjBMpOfrz7VlTdtT
Sqm7JH//2Q==
`
data, err := base64.StdEncoding.DecodeString(base64EncodedImage)
if err != nil {
t.Fatalf("base64 DecodeString: %v", err)
}
if _, err = Decode(bytes.NewReader(data)); err != nil {
t.Fatalf("Decode: %v", err)
}
}
func TestExtraneousData(t *testing.T) {
// Encode a 1x1 red image.
src := image.NewRGBA(image.Rect(0, 0, 1, 1))
src.Set(0, 0, color.RGBA{0xff, 0x00, 0x00, 0xff})
buf := new(bytes.Buffer)
if err := Encode(buf, src, nil); err != nil {
t.Fatalf("encode: %v", err)
}
enc := buf.String()
// Sanity check that the encoded JPEG is long enough, that it ends in a
// "\xff\xd9" EOI marker, and that it contains a "\xff\xda" SOS marker
// somewhere in the final 64 bytes.
if len(enc) < 64 {
t.Fatalf("encoded JPEG is too short: %d bytes", len(enc))
}
if got, want := enc[len(enc)-2:], "\xff\xd9"; got != want {
t.Fatalf("encoded JPEG ends with %q, want %q", got, want)
}
if s := enc[len(enc)-64:]; !strings.Contains(s, "\xff\xda") {
t.Fatalf("encoded JPEG does not contain a SOS marker (ff da) near the end: % x", s)
}
// Test that adding some random junk between the SOS marker and the
// EOI marker does not affect the decoding.
rnd := rand.New(rand.NewSource(1))
for i, nerr := 0, 0; i < 1000 && nerr < 10; i++ {
buf.Reset()
// Write all but the trailing "\xff\xd9" EOI marker.
buf.WriteString(enc[:len(enc)-2])
// Write some random extraneous data.
for n := rnd.Intn(10); n > 0; n-- {
if x := byte(rnd.Intn(256)); x != 0xff {
buf.WriteByte(x)
} else {
// The JPEG format escapes a SOS 0xff data byte as "\xff\x00".
buf.WriteString("\xff\x00")
}
}
// Write the "\xff\xd9" EOI marker.
buf.WriteString("\xff\xd9")
// Check that we can still decode the resultant image.
got, err := Decode(buf)
if err != nil {
t.Errorf("could not decode image #%d: %v", i, err)
nerr++
continue
}
if got.Bounds() != src.Bounds() {
t.Errorf("image #%d, bounds differ: %v and %v", i, got.Bounds(), src.Bounds())
nerr++
continue
}
if averageDelta(got, src) > 2<<8 {
t.Errorf("image #%d changed too much after a round trip", i)
nerr++
continue
}
}
}
func TestIssue56724(t *testing.T) {
b, err := os.ReadFile("../testdata/video-001.jpeg")
if err != nil {
t.Fatal(err)
}
b = b[:24] // truncate image data
_, err = Decode(bytes.NewReader(b))
if err != io.ErrUnexpectedEOF {
t.Errorf("got: %v, want: %v", err, io.ErrUnexpectedEOF)
}
}
func TestBadRestartMarker(t *testing.T) {
b, err := os.ReadFile("../testdata/video-001.restart2.jpeg")
if err != nil {
t.Fatal(err)
} else if len(b) != 4855 {
t.Fatal("test image had unexpected length")
} else if (b[2816] != 0xff) || (b[2817] != 0xd1) {
t.Fatal("test image did not have FF D1 restart marker at expected offset")
}
prefix, suffix := b[:2816], b[2816:]
testCases := []string{
"PASS:",
"PASS:\x00",
"PASS:\x61",
"PASS:\x61\x62\x63\xff\x00\x64",
"PASS:\xff",
"PASS:\xff\x00",
"PASS:\xff\xff\xff\x00\xff\x00\x00\xff\xff\xff",
"FAIL:\xff\x03",
"FAIL:\xff\xd5",
"FAIL:\xff\xff\xd5",
}
for _, tc := range testCases {
want := tc[:5] == "PASS:"
infix := tc[5:]
data := []byte(nil)
data = append(data, prefix...)
data = append(data, infix...)
data = append(data, suffix...)
_, err := Decode(bytes.NewReader(data))
got := err == nil
if got != want {
t.Errorf("%q: got %v, want %v", tc, got, want)
}
}
}
func benchmarkDecode(b *testing.B, filename string) {
data, err := os.ReadFile(filename)
if err != nil {
b.Fatal(err)
}
cfg, err := DecodeConfig(bytes.NewReader(data))
if err != nil {
b.Fatal(err)
}
b.SetBytes(int64(cfg.Width * cfg.Height * 4))
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
Decode(bytes.NewReader(data))
}
}
func BenchmarkDecodeBaseline(b *testing.B) {
benchmarkDecode(b, "../testdata/video-001.jpeg")
}
func BenchmarkDecodeProgressive(b *testing.B) {
benchmarkDecode(b, "../testdata/video-001.progressive.jpeg")
}
|
