High dynamic range imaging: acquisition, display, and image-based lighting
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
San Francisco, Calif. [u.a.]
Morgan Kaufmann [u.a.]
2006
|
| Schriftenreihe: | The Morgan Kaufmann series in computer graphics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 502 S. zahlr. Ill. 1 CD-Rom |
| ISBN: | 0125852630 9780125852630 |
Internformat
MARC
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| 020 | |a 9780125852630 |9 978-0-12-585263-0 | ||
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| 245 | 1 | 0 | |a High dynamic range imaging |b acquisition, display, and image-based lighting |c Erik Reinhard ... |
| 264 | 1 | |a San Francisco, Calif. [u.a.] |b Morgan Kaufmann [u.a.] |c 2006 | |
| 300 | |a XVIII, 502 S. |b zahlr. Ill. |e 1 CD-Rom | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a The Morgan Kaufmann series in computer graphics | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Image processing | |
| 650 | 4 | |a Optical pattern recognition | |
| 650 | 0 | 7 | |a Computervision |0 (DE-588)4207417-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Computervision |0 (DE-588)4207417-4 |D s |
| 689 | 0 | 1 | |a Mustererkennung |0 (DE-588)4040936-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Reinhard, Erik |e Sonstige |4 oth | |
| 856 | 4 | 2 | |m Digitalisierung UB Bayreuth |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014731883&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-014731883 | ||
Datensatz im Suchindex
| _version_ | 1804135253753724928 |
|---|---|
| adam_text | Contents
FOREWORD XV
PREFACE
XVII
01
INTRODUCTION
1
02
LIGHT AND COLOR
19
19
24
28
33
36
48
50
57
69
73
76
03
HDR IMAGE ENCODINGS
85
3.1
LDR Versus HDR Encodings
85
3.2
Applications of HDR Images
87
3.3
HDR Image Formats
89
3.3.1
The HDR Format
91
2.1
Radiometry
2.2
Photometry
2.3
Colorimetry
2.4
Color Spaces
2.5
White Point and
Illuminants
2.6
Color Correction
2.7
Color Opponent Spaces
2.8
Color Appearance
2.9
Display Gamma
2.10
Brightness Encoding
2.11
Standard RGB Color Spaces
CONTENTS
04
3.3.2
The TIFF Float and LogLuv
Formats
93
3.3.3 The OpenEXR Format
97
3.3.4
Other Encodings
98
3.3.5
Emerging Lossy HDR Formats
99
3.4
HDR Encoding Comparison
106
3.5
Conclusions
111
HDR
IMAGE CAPTURE
115
4.1
Photography and light Measurement
1
15
4.2
HDR Image Capture from Multiple Exposures
117
4.3
Film Scanning
118
4.4
Image Registration and Alignment
122
4.S
The Mean Threshold Bitmap Alignment Technique
123
4.5.1
Threshold Noise
128
4.5.2
Overall Algorithm
131
4.5.3
Efficiency Considerations
134
4.5.4
Results
135
4.6
Deriving the Camera Response Function
136
4.6.1
Debevec and Malik Technique
137
4.6.2
Mitsunaga and Nayar Technique
140
4.6.3
Choosing Image Samples for Response Recovery
142
4.6.4
Caveats and Calibration
143
4.7
Ghost Removal
147
4.8
Lens Flare Removal
152
4.8.1
The Point Spread Function
152
4.8.2
Estimating the
PSF
155
4.8.3
Removing the
PSF
159
4.9
Direct Capture of HDR Imagery
159
4.9.1
Viper FilmStream
160
4.9.2
SMaL
161
4.9.3
Pixim
162
4.9.4
SpheronVR
163
CONTENTS
4.9.5 Point
Grey
Research 163
4.10
Conclusions
164
05 DISPLAY DEVICES 167
5. l Hardcopy Devices 16 7
5. l. 1
The Reflection Print 1
68
5.1.2 Transparent Media 17 0
5.1.3 HDR Still Image Viewer 171
5.2 Softcopy Devices 17 6
5.2.1
Cathode-ray Tubes and
Liquid
Crystal
Displays 176
5.2.2 Sunnybrook Technologies HDR Displays 179
5.2.3
Other
Display Technologies 182
06 THE HUMAN VISUAL SYSTEM
A
IM
D HDR
TONE MAPPING
187
6.1
Tone-mapping
Problem 187
6.2 Human Visual Adaptation 191
6.2.
1 The Pupil 193
6.2.2
The Rod and Cone
Systems 193
6.2.3
Photo-pigment Depletion
and Regeneration 19 6
6.2.4
Photoreceptor Mechanisms 197
6.3 Visual Adaptation Models
for HDR Tone Mapping
206
6.3. l Photoreceptor Adaptation Model
for Tone Mapping
207
6.3.2
Threshold
Versus
Intensity
Model
for Tone Mapping
2
1
0
6.4
Background Intensity in Complex Images
2
11
6.4.
1 Image Average As
/ь
2
11
6.4.2
Local Average As
/ь
2
1
2
6.4.3
Multiscale Adaptation 215
6.5
Dynamics of Visual Adaptation
219
6.6
Summary
221
07
SPATIAL TONE REPRODUCTION
223
7.1
Preliminaries
224
CONTENTS
7.1.1
Calibration
225
7.1.2
Color
Images 228
7.1.3
Homomorphic Filtering
231
7.1.4
Gaussian Blur
233
7.1.5
Validation
235
7.2
Global Operators
237
7.2.1
Miller Brightness-ratio-preserving Operator
237
7.2.2
Tumblin-Rushmeier Brightness-preserving
Operator
242
7.2.3
Ward Contrast-based Scale Factor
246
7.2.4
Ferwerda Model of Visual Adaptation
247
7.2.5
Logarithmic and Exponential Mappings
252
7.2.6
Drago
Logarithmic Mapping
255
7.2.7 Reinhard
and Devlin Photoreceptor Model
258
7.2.8
Ward Histogram Adjustment
266
7.2.9 Schlick
Uniform Rational Quantization
273
7.3
Local Operators
277
7.3.1
Chiu
Spatially Variant Operator
278
7.3.2
Rahman Retinex
281
7.3.3
Fairchild iCAM
286
7.3.4 Pattanaik Mulüscale
Observer Model
292
7.3.5
Ashikhmin Spatially Variant Operator
3 01
7.3.6 Reinhard
et al.
Photographic Tone Reproduction
305
7.3.7
Pattanaik Adaptive Gain Control
313
7.3.8
Yee Segmentation-based Approach
316
7.4
Summary
323
08
FREQUENCY DOMAIN AND GRADIENT
DOMAIN TONE REPRODUCTION
325
8.1
Frequency Domain Operators
325
8.1.1 Oppenheim
Frequency-based Operator
326
8.1.2
Durand
Bilateral Filtering
333
CONTENTS
8.1.3 Choudhury
Trilateral
Filtering
340
8.2 Gradient Domain Operators 345
8.2.1
Horn Lightness Computation
346
8.2.2
Fattal
Gradient Domain Compression
352
8.3
Performance
357
8.3.1
Local and Global Operators
359
8.3.2
Gradient and Frequency Domain Operators
360
8.4
Discussion
362
09
IMAGE-BASED LIGHTING
367
9.1
Introduction
367
9.2
Basic Image-based Lighting
370
9.2.1
Acquire and Assemble the light Probe Image
370
9.2.2
Model the Geometry and Reflectance of the Scene
372
9.2.3
Map the light Probe to an Emissive Surface
Surrounding the Scene
373
9.2.4
Render the Scene as Illuminated by the IBL
Environment
374
9.2.5
Postprocess
the Renderings
376
9.3
Capturing light Probe Images
381
9.3.1
Photographing a Mirrored Sphere
382
9.3.2
Tiled Photographs
387
9.3.3
Fish-eye Lenses
389
9.3.4
Scanning Panoramic Cameras
390
9.3.5
Capturing Environments with Very Bright Sources
392
9.4
Omnidirectional Image Mappings
401
9.4.1
Ideal Mirrored Sphere
402
9.4.2
Angular Map
404
9.4.3
Latitude-Longitude
405
9.4.4
Cube Map
407
9.5
How a Global Illumination Renderer Computes IBL Images
409
9.5.1
Sampling Other Surface Reflectance Types
414
CONTENTS
9.6
Sampling
Incident Illumination
Efficiently
416
9.6.1
Identifying light
Sources
420
9.6.2
Converting a light Probe into a Constellation of
light Sources
428
9.6.3
Importance Sampling
436
9.7
Simulating Shadows and Scene-Object Interreflection
439
9.7.1
Differential Rendering
444
9.7.2
Rendering into
a Nondiffuse
Local Scene
445
9.8
Useful IBL Approximations
446
9.8.1
Environment
Mapping
447
9.8.2
Ambient Occlusion
452
9.9
Image-based lighting for Real Objects and People
454
9.9.1
A Technique for lighting Real Subjects
454
9.9.2
Relighting from Compressed Image Data Sets
456
9.10
Conclusions
461
LIST OF SYMBOLS
463
REFERENCES
467
INDEX 48S
ABOUT THE DVD-ROM
497
|
| adam_txt |
Contents
FOREWORD XV
PREFACE
XVII
01
INTRODUCTION
1
02
LIGHT AND COLOR
19
19
24
28
33
36
48
50
57
69
73
76
03
HDR IMAGE ENCODINGS
85
3.1
LDR Versus HDR Encodings
85
3.2
Applications of HDR Images
87
3.3
HDR Image Formats
89
3.3.1
The HDR Format
91
2.1
Radiometry
2.2
Photometry
2.3
Colorimetry
2.4
Color Spaces
2.5
White Point and
Illuminants
2.6
Color Correction
2.7
Color Opponent Spaces
2.8
Color Appearance
2.9
Display Gamma
2.10
Brightness Encoding
2.11
Standard RGB Color Spaces
CONTENTS
04
3.3.2
The TIFF Float and LogLuv
Formats
93
3.3.3 The OpenEXR Format
97
3.3.4
Other Encodings
98
3.3.5
Emerging "Lossy" HDR Formats
99
3.4
HDR Encoding Comparison
106
3.5
Conclusions
111
HDR
IMAGE CAPTURE
115
4.1
Photography and light Measurement
1
15
4.2
HDR Image Capture from Multiple Exposures
117
4.3
Film Scanning
118
4.4
Image Registration and Alignment
122
4.S
The Mean Threshold Bitmap Alignment Technique
123
4.5.1
Threshold Noise
128
4.5.2
Overall Algorithm
131
4.5.3
Efficiency Considerations
134
4.5.4
Results
135
4.6
Deriving the Camera Response Function
136
4.6.1
Debevec and Malik Technique
137
4.6.2
Mitsunaga and Nayar Technique
140
4.6.3
Choosing Image Samples for Response Recovery
142
4.6.4
Caveats and Calibration
143
4.7
Ghost Removal
147
4.8
Lens Flare Removal
152
4.8.1
The Point Spread Function
152
4.8.2
Estimating the
PSF
155
4.8.3
Removing the
PSF
159
4.9
Direct Capture of HDR Imagery
159
4.9.1
Viper FilmStream
160
4.9.2
SMaL
161
4.9.3
Pixim
162
4.9.4
SpheronVR
163
CONTENTS
4.9.5 Point
Grey
Research 163
4.10
Conclusions
164
05 DISPLAY DEVICES 167
5. l Hardcopy Devices 16 7
5. l. 1
The Reflection Print 1
68
5.1.2 Transparent Media 17 0
5.1.3 HDR Still Image Viewer 171
5.2 Softcopy Devices 17 6
5.2.1
Cathode-ray Tubes and
Liquid
Crystal
Displays 176
5.2.2 Sunnybrook Technologies' HDR Displays 179
5.2.3
Other
Display Technologies 182
06 THE HUMAN VISUAL SYSTEM
A
IM
D HDR
TONE MAPPING
187
6.1
Tone-mapping
Problem 187
6.2 Human Visual Adaptation 191
6.2.
1 The Pupil 193
6.2.2
The Rod and Cone
Systems 193
6.2.3
Photo-pigment Depletion
and Regeneration 19 6
6.2.4
Photoreceptor Mechanisms 197
6.3 Visual Adaptation Models
for HDR Tone Mapping
206
6.3. l Photoreceptor Adaptation Model
for Tone Mapping
207
6.3.2
Threshold
Versus
Intensity
Model
for Tone Mapping
2
1
0
6.4
Background Intensity in Complex Images
2
11
6.4.
1 Image Average As
/ь
2
11
6.4.2
Local Average As
/ь
2
1
2
6.4.3
Multiscale Adaptation 215
6.5
Dynamics of Visual Adaptation
219
6.6
Summary
221
07
SPATIAL TONE REPRODUCTION
223
7.1
Preliminaries
224
CONTENTS
7.1.1
Calibration
225
7.1.2
Color
Images 228
7.1.3
Homomorphic Filtering
231
7.1.4
Gaussian Blur
233
7.1.5
Validation
235
7.2
Global Operators
237
7.2.1
Miller Brightness-ratio-preserving Operator
237
7.2.2
Tumblin-Rushmeier Brightness-preserving
Operator
242
7.2.3
Ward Contrast-based Scale Factor
246
7.2.4
Ferwerda Model of Visual Adaptation
247
7.2.5
Logarithmic and Exponential Mappings
252
7.2.6
Drago
Logarithmic Mapping
255
7.2.7 Reinhard
and Devlin Photoreceptor Model
258
7.2.8
Ward Histogram Adjustment
266
7.2.9 Schlick
Uniform Rational Quantization
273
7.3
Local Operators
277
7.3.1
Chiu
Spatially Variant Operator
278
7.3.2
Rahman Retinex
281
7.3.3
Fairchild iCAM
286
7.3.4 Pattanaik Mulüscale
Observer Model
292
7.3.5
Ashikhmin Spatially Variant Operator
3 01
7.3.6 Reinhard
et al.
Photographic Tone Reproduction
305
7.3.7
Pattanaik Adaptive Gain Control
313
7.3.8
Yee Segmentation-based Approach
316
7.4
Summary
323
08
FREQUENCY DOMAIN AND GRADIENT
DOMAIN TONE REPRODUCTION
325
8.1
Frequency Domain Operators
325
8.1.1 Oppenheim
Frequency-based Operator
326
8.1.2
Durand
Bilateral Filtering
333
CONTENTS
8.1.3 Choudhury
Trilateral
Filtering
340
8.2 Gradient Domain Operators 345
8.2.1
Horn Lightness Computation
346
8.2.2
Fattal
Gradient Domain Compression
352
8.3
Performance
357
8.3.1
Local and Global Operators
359
8.3.2
Gradient and Frequency Domain Operators
360
8.4
Discussion
362
09
IMAGE-BASED LIGHTING
367
9.1
Introduction
367
9.2
Basic Image-based Lighting
370
9.2.1
Acquire and Assemble the light Probe Image
370
9.2.2
Model the Geometry and Reflectance of the Scene
372
9.2.3
Map the light Probe to an Emissive Surface
Surrounding the Scene
373
9.2.4
Render the Scene as Illuminated by the IBL
Environment
374
9.2.5
Postprocess
the Renderings
376
9.3
Capturing light Probe Images
381
9.3.1
Photographing a Mirrored Sphere
382
9.3.2
Tiled Photographs
387
9.3.3
Fish-eye Lenses
389
9.3.4
Scanning Panoramic Cameras
390
9.3.5
Capturing Environments with Very Bright Sources
392
9.4
Omnidirectional Image Mappings
401
9.4.1
Ideal Mirrored Sphere
402
9.4.2
Angular Map
404
9.4.3
Latitude-Longitude
405
9.4.4
Cube Map
407
9.5
How a Global Illumination Renderer Computes IBL Images
409
9.5.1
Sampling Other Surface Reflectance Types
414
CONTENTS
9.6
Sampling
Incident Illumination
Efficiently
416
9.6.1
Identifying light
Sources
420
9.6.2
Converting a light Probe into a Constellation of
light Sources
428
9.6.3
Importance Sampling
436
9.7
Simulating Shadows and Scene-Object Interreflection
439
9.7.1
Differential Rendering
444
9.7.2
Rendering into
a Nondiffuse
Local Scene
445
9.8
Useful IBL Approximations
446
9.8.1
Environment
Mapping
447
9.8.2
Ambient Occlusion
452
9.9
Image-based lighting for Real Objects and People
454
9.9.1
A Technique for lighting Real Subjects
454
9.9.2
Relighting from Compressed Image Data Sets
456
9.10
Conclusions
461
LIST OF SYMBOLS
463
REFERENCES
467
INDEX 48S
ABOUT THE DVD-ROM
497 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| building | Verbundindex |
| bvnumber | BV021515315 |
| callnumber-first | T - Technology |
| callnumber-label | TA1634 |
| callnumber-raw | TA1634 |
| callnumber-search | TA1634 |
| callnumber-sort | TA 41634 |
| callnumber-subject | TA - General and Civil Engineering |
| classification_rvk | ST 320 ST 330 |
| ctrlnum | (OCoLC)67767663 (DE-599)BVBBV021515315 |
| dewey-full | 621.367 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.367 |
| dewey-search | 621.367 |
| dewey-sort | 3621.367 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV021515315 |
| illustrated | Illustrated |
| index_date | 2024-07-02T14:20:28Z |
| indexdate | 2024-07-09T20:37:34Z |
| institution | BVB |
| isbn | 0125852630 9780125852630 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014731883 |
| oclc_num | 67767663 |
| open_access_boolean | |
| owner | DE-898 DE-BY-UBR DE-92 DE-1102 DE-522 DE-B768 |
| owner_facet | DE-898 DE-BY-UBR DE-92 DE-1102 DE-522 DE-B768 |
| physical | XVIII, 502 S. zahlr. Ill. 1 CD-Rom |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Morgan Kaufmann [u.a.] |
| record_format | marc |
| series2 | The Morgan Kaufmann series in computer graphics |
| spelling | High dynamic range imaging acquisition, display, and image-based lighting Erik Reinhard ... San Francisco, Calif. [u.a.] Morgan Kaufmann [u.a.] 2006 XVIII, 502 S. zahlr. Ill. 1 CD-Rom txt rdacontent n rdamedia nc rdacarrier The Morgan Kaufmann series in computer graphics Computer vision Image processing Optical pattern recognition Computervision (DE-588)4207417-4 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Computervision (DE-588)4207417-4 s Mustererkennung (DE-588)4040936-3 s DE-604 Reinhard, Erik Sonstige oth Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014731883&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | High dynamic range imaging acquisition, display, and image-based lighting Computer vision Image processing Optical pattern recognition Computervision (DE-588)4207417-4 gnd Mustererkennung (DE-588)4040936-3 gnd |
| subject_GND | (DE-588)4207417-4 (DE-588)4040936-3 |
| title | High dynamic range imaging acquisition, display, and image-based lighting |
| title_auth | High dynamic range imaging acquisition, display, and image-based lighting |
| title_exact_search | High dynamic range imaging acquisition, display, and image-based lighting |
| title_exact_search_txtP | High dynamic range imaging acquisition, display, and image-based lighting |
| title_full | High dynamic range imaging acquisition, display, and image-based lighting Erik Reinhard ... |
| title_fullStr | High dynamic range imaging acquisition, display, and image-based lighting Erik Reinhard ... |
| title_full_unstemmed | High dynamic range imaging acquisition, display, and image-based lighting Erik Reinhard ... |
| title_short | High dynamic range imaging |
| title_sort | high dynamic range imaging acquisition display and image based lighting |
| title_sub | acquisition, display, and image-based lighting |
| topic | Computer vision Image processing Optical pattern recognition Computervision (DE-588)4207417-4 gnd Mustererkennung (DE-588)4040936-3 gnd |
| topic_facet | Computer vision Image processing Optical pattern recognition Computervision Mustererkennung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014731883&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT reinharderik highdynamicrangeimagingacquisitiondisplayandimagebasedlighting |