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Modeling the Digital Camera Pipeline: From RAW to sRGB and Back
Published on Jan 23, 20126407 Views
This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if output image values (i.e. sRGB)
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Chapter list
Modeling the Digital Camera Pipeline: From RAW to sRGB and Back00:00
Acknowledgements00:07
Computational Photography00:26
But today . . .01:19
Tan Photography - 101:34
Tan Photography - 201:58
Tan Photography - 302:03
Tan Photography - 402:13
Scientist’s view of photography02:39
Camera = light-measuring device - 103:00
Camera = light-measuring device - 203:24
Light-measuring device?03:38
Onboard Photofinishing "Secret Recipe" of a Camera04:16
Modern photography pipeline - 104:47
Modern photography pipeline - 205:54
Photography ≠light measurement05:56
Can image values be treated as physically meaningful values? And if so, when and how?06:09
Camera = light-measuring device - 306:24
Digital camera pipeline (early work)07:00
Tone Mapping07:39
Early Work - 107:53
Early Work - 207:58
Accepted model08:48
Prior work - 109:21
Prior work - 210:01
Scene Dependent ...10:28
Accepted model - 210:45
Photo-finishing in cameras11:11
Our Experiment: Data Collection12:38
Scene under different exposure13:36
Checked if f is fixed or scene dependent13:55
BTF - 114:29
BTF - 214:54
BTF - 315:11
BTF - 415:21
For the most part ... it was ok - 115:35
For the most part ... it was ok - 216:06
For the most part ... it was ok - 316:12
For the most part ... it was ok - 416:13
Observations: Where are the outliers? - 116:36
Observations: Where are the outliers? - 217:06
Gamut Mapping17:17
Proposed a new model - 118:20
Proposed a new model - 218:28
sRGB Image to RAW - 118:40
sRGB Image to RAW - 219:02
Camera (RAW) -> sRGB (JPEG) - 119:25
Camera (RAW) -> sRGB (JPEG) - 220:00
Gamut Mapping20:15
Experiments: Mapping Image to RAW - 120:59
Experiments: Mapping Image to RAW - 221:19
Experiments: Mapping Image to RAW - 321:41
Experiments: Mapping Image to RAW - 421:59
Experiments: Mapping Image to RAW - 522:36
Experiments: Mapping Image to RAW - 622:39
Experiments: Mapping Image to RAW - 722:40
Experiments: Mapping Image to RAW - 822:50
Experiments: Mapping Image to RAW - 923:46
Experiments: Mapping Image to RAW - 1023:47
Application: Photo Refinishing - 123:54
Application: Photo Refinishing - 224:06
Application: Photo Refinishing - 324:16
Application: Photo Refinishing - 424:18
Application: Photo Refinishing - 524:18
Application: Photo Refinishing - 624:30
Application: Photo Refinishing - 724:48
Application: Photo Refinishing - 824:51
Application: Photo Refinishing - 924:55
Example 1: Input: cloudy WB + landscape style24:58
Example 1: Ground truth: fluorescent WB + standard style25:18
Example 1: Photoshop result25:29
Example 1: Refinished result25:34
Example 1: Ground truth: fluorescent WB + standard style25:38
Example 125:52
Example 2: Input: tungsten WB + standard style25:54
Example 2: Ground truth: daylight WB + standard style26:00
Example 2: Photoshop result26:07
Example 2: Our refinished result26:14
Example 2: Ground truth: daylight WB + standard style26:17
Example 226:34
Example 3: Input: tungsten WB + standard style26:35
Example 3: Ground truth: daylight WB + standard style26:43
Example 3: Photoshop result26:48
Example 3: Refinished result27:00
Example 3: Ground truth: daylight WB + standard style27:02
Example 327:07
Example 4: Input: tungsten WB + standard style27:08
Example 4: Ground truth: daylight WB + standard style27:17
Example 4: Photoshop result27:19
Example 4: Our refinished result27:20
Example 4: Ground truth: daylight WB + standard style27:23
Example 427:25
Remember these guys? - 127:27
Remember these guys? - 227:39
Discussion28:08
Take home message - 128:35
Take home message - 228:57
Thank You!29:21