Mark D. Fairchild
Color Appearance Models (eBook, PDF)
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Mark D. Fairchild
Color Appearance Models (eBook, PDF)
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The essential resource for readers needing to understand visual perception and for those trying to produce, reproduce and measure color appearance in various applications such as imaging, entertainment, materials, design, architecture and lighting. This book builds upon the success of previous editions, and will continue to serve the needs of those professionals working in the field to solve practical problems or looking for background for on-going research projects. It would also act as a good course text for senior undergraduates and postgraduates studying color science. The 3rd Edition of…mehr
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The essential resource for readers needing to understand visual perception and for those trying to produce, reproduce and measure color appearance in various applications such as imaging, entertainment, materials, design, architecture and lighting. This book builds upon the success of previous editions, and will continue to serve the needs of those professionals working in the field to solve practical problems or looking for background for on-going research projects. It would also act as a good course text for senior undergraduates and postgraduates studying color science. The 3rd Edition of Color Appearance Models contains numerous new and expanded sections providing an updated review of color appearance and includes many of the most widely used models to date, ensuring its continued success as the comprehensive resource on color appearance models. Key features: * Presents the fundamental concepts and phenomena of color appearance (what objects look like in typical viewing situations) and practical techniques to measure, model and predict those appearances. * Includes the clear explanation of fundamental concepts that makes the implementation of mathematical models very easy to understand. * Explains many different types of models, and offers a clear context for the models, their use, and future directions in the field.
Produktdetails
- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 472
- Erscheinungstermin: 4. Juni 2013
- Englisch
- ISBN-13: 9781118653111
- Artikelnr.: 39054547
- Verlag: John Wiley & Sons
- Seitenzahl: 472
- Erscheinungstermin: 4. Juni 2013
- Englisch
- ISBN-13: 9781118653111
- Artikelnr.: 39054547
Mark D. Fairchild, Rochester Institute of Technology, USA Dr. Fairchild is Professor of Color Science and Imaging Science at RIT. He is an Associate Dean for Research & Graduate Education of RIT's College of Science, facilitating the growth and strengthening of the college's research activities and graduate programs. Until recently, he had been the Director of the Munsell Color Science Laboratory for the past 12 years.
Series Preface xiii Preface xv Acknowledgments xviii Introduction xix 1
Human Color Vision 1 1.1 Optics of the Eye 2 1.2 The Retina 7 1.3 Visual
Signal Processing 14 1.4 Mechanisms of Color Vision 19 1.5 Spatial and
Temporal Properties of Color Vision 27 1.6 Color Vision Deficiencies 32 1.7
Key Features for Color Appearance Modeling 36 2 Psychophysics 38 2.1
Psychophysics Defined 39 2.2 Historical Context 40 2.3 Hierarchy of Scales
43 2.4 Threshold Techniques 45 2.5 Matching Techniques 49 2.6
One-Dimensional Scaling 50 2.7 Multidimensional Scaling 52 2.8 Design of
Psychophysical Experiments 54 2.9 Importance in Color Appearance Modeling
55 3 Colorimetry 56 3.1 Basic and Advanced Colorimetry 57 3.2 Why is Color?
57 3.3 Light Sources and Illuminants 59 3.4 Colored Materials 63 3.5 The
Human Visual Response 68 3.6 Tristimulus Values and Color Matching
Functions 70 3.7 Chromaticity Diagrams 77 3.8 Cie Color Spaces 79 3.9 Color
Difference Specification 81 3.10 The Next Step 83 4 Color Appearance
Terminology 85 4.1 Importance of Definitions 85 4.2 Color 86 4.3 Hue 88 4.4
Brightness and Lightness 88 4.5 Colorfulness and Chroma 90 4.6 Saturation
91 4.7 Unrelated and Related Colors 91 4.8 Definitions in Equations 92 4.9
Brightness-Colorfulness Vs Lightness-Chroma 94 5 Color Order Systems 97 5.1
Overview and Requirements 98 5.2 The Munsell Book of Color 99 5.3 The
Swedish Ncs 104 5.4 The Colorcurve System 106 5.5 Other Color Order Systems
107 5.6 Uses of Color Order Systems 109 5.7 Color Naming Systems 112 6
Color Appearance Phenomena 115 6.1 What are Color Appearance Phenomena? 115
6.2 Simultaneous Contrast, Crispening, and Spreading 116 6.3 Bezold-Brücke
Hue Shift (Hue Changes with Luminance) 120 6.4 Abney Effect (Hue Changes
with Colorimetric Purity) 121 6.5 Helmholtz-Kohlrausch Effect (Brightness
Depends On Luminance and Chromaticity) 123 6.6 Hunt Effect (Colorfulness
Increases with Luminance) 125 6.7 Stevens Effect (Contrast Increases with
Luminance) 127 6.8 Helson-Judd Effect (Hue of Non-Selective Samples) 129
6.9 Bartleson-Breneman Equations (Image Contrast Changes with Surround) 131
6.10 Discounting-the-Illuminant 132 6.11 Other Context, Structural, and
Psychological Effects 133 6.12 Color Constancy? 140 7 Viewing Conditions
142 7.1 Configuration of the Viewing Field 142 7.2 Colorimetric
Specification of the Viewing Field 146 7.3 Modes of Viewing 149 7.4
Unrelated and Related Colors Revisited 154 8 Chromatic Adaptation 156 8.1
Light, Dark, and Chromatic Adaptation 157 8.2 Physiology 159 8.3 Sensory
and Cognitive Mechanisms 170 8.4 Corresponding Colors Data 174 8.5 Models
177 8.6 Color Inconstancy Index 178 8.7 Computational Color Constancy 179 9
Chromatic Adaptation Models 181 9.1 Von Kries Model 182 9.2 Retinex Theory
186 9.3 Nayatani et al. Model 187 9.4 Guth's Model 190 9.5 Fairchild's 1990
Model 192 9.6 Herding Cats 196 9.7 Cat02 197 10 Color Appearance Models 199
10.1 Definition of Color Appearance Models 199 10.2 Construction of Color
Appearance Models 200 10.3 Cielab 201 10.4 Why Not Use Just Cielab? 210
10.5 What About Cieluv? 210 11 The Nayatani et al. Model 213 11.1
Objectives and Approach 213 11.2 Input Data 214 11.3 Adaptation Model 215
11.4 Opponent Color Dimensions 217 11.5 Brightness 218 11.6 Lightness 219
11.7 Hue 219 11.8 Saturation 220 11.9 Chroma 221 11.10 Colorfulness 221
11.11 Inverse Model 222 11.12 Phenomena Predicted 222 11.13 Why Not Use
Just the Nayatani et al. Model? 223 12 The Hunt Model 225 12.1 Objectives
and Approach 225 12.2 Input Data 226 12.3 Adaptation Model 228 12.4
Opponent Color Dimensions 233 12.5 Hue 234 12.6 Saturation 235 12.7
Brightness 236 12.8 Lightness 238 12.9 Chroma 238 12.10 Colorfulness 238
12.11 Inverse Model 239 12.12 Phenomena Predicted 241 12.13 Why Not Use
Just the Hunt Model? 242 13 The Rlab Model 243 13.1 Objectives and Approach
243 13.2 Input Data 245 13.3 Adaptation Model 246 13.4 Opponent Color
Dimensions 248 13.5 Lightness 250 13.6 Hue 250 13.7 Chroma 252 13.8
Saturation 252 13.9 Inverse Model 252 13.10 Phenomena Predicted 254 13.11
Why Not Use Just the Rlab Model? 254 14 Other Models 256 14.1 Overview 256
14.2 Atd Model 257 14.3 Llab Model 264 14.4 Ipt Color Space 271 15 The Cie
Color Appearance Model (1997), Ciecam97s 273 15.1 Historical Development,
Objectives, and Approach 273 15.2 Input Data 276 15.3 Adaptation Model 277
15.4 Appearance Correlates 279 15.5 Inverse Model 280 15.6 Phenomena
Predicted 281 15.7 The Zlab Color Appearance Model 282 15.8 Why Not Use
Just Ciecam97s? 285 16 Ciecam02 287 16.1 Objectives and Approach 287 16.2
Input Data 288 16.3 Adaptation Model 290 16.4 Opponent Color Dimensions 294
16.5 Hue 294 16.6 Lightness 295 16.7 Brightness 295 16.8 Chroma 295 16.9
Colorfulness 296 contents xi 16.10 Saturation 296 16.11 Cartesian
Coordinates 296 16.12 Inverse Model 297 16.13 Implementation Guidelines 297
16.14 Phenomena Predicted 298 16.15 Computational Issues 298 16.16
Cam02-Ucs 300 16.17 Why Not Use Just Ciecam02? 301 16.18 Outlook 301 17
Testing Color Appearance Models 303 17.1 Overview 303 17.2 Qualitative
Tests 304 17.3 Corresponding-Colors Data 308 17.4 Magnitude Estimation
Experiments 310 17.5 Direct Model Tests 312 17.6 Colorfulness in Projected
Images 316 17.7 Munsell in Color Appearance Spaces 317 17.8 Cie Activities
318 17.9 A Pictorial Review of Color Appearance Models 323 18 Traditional
Colorimetric Applications 328 18.1 Color Rendering 328 18.2 Color
Differences 333 18.3 Indices of Metamerism 335 18.4 A General System of
Colorimetry? 337 18.5 What About Observer Metamerism? 338 19
Device-Independent Color Imaging 341 19.1 The Problem 342 19.2 Levels of
Color Reproduction 343 19.3 A Revised Set of Objectives 345 19.4 General
Solution 348 19.5 Device Calibration and Characterization 349 19.6 The Need
for Color Appearance Models 354 19.7 Definition of Viewing Conditions 355
19.8 Viewing-Conditions-Independent Color Space 357 19.9 Gamut Mapping 357
19.10 Color Preferences 361 19.11 Inverse Process 362 19.12 Example System
363 19.13 Icc Implementation 364 20 I mage Appearance Modeling and the
Future 369 20.1 From Color Appearance to Image Appearance 370 20.2 S-Cielab
375 20.3 The icam Framework 376 20.4 A Modular Image Difference Model 382
20.5 Image Appearance and Rendering Applications 385 20.6 Image Difference
and Quality Applications 391 20.7 icam06 392 20.8 Orthogonal Color Space
393 20.9 Future Directions 396 21 High-Dynamic-Range Color Space 399 21.1
Luminance Dynamic Range 400 21.2 The Hdr Photographic Survey 401 21.3
Lightness-Brightness Beyond Diffuse White 403 21.4 hdr-Cielab 404 21.5
hdr-Ipt 406 21.6 Evans, G0, and Brilliance 407 21.7 The Nayatani
Theoretical Color Space 409 21.8 A New Kind of Appearance Space 409 21.9
Future Directions 416 References 418 Index 440
Human Color Vision 1 1.1 Optics of the Eye 2 1.2 The Retina 7 1.3 Visual
Signal Processing 14 1.4 Mechanisms of Color Vision 19 1.5 Spatial and
Temporal Properties of Color Vision 27 1.6 Color Vision Deficiencies 32 1.7
Key Features for Color Appearance Modeling 36 2 Psychophysics 38 2.1
Psychophysics Defined 39 2.2 Historical Context 40 2.3 Hierarchy of Scales
43 2.4 Threshold Techniques 45 2.5 Matching Techniques 49 2.6
One-Dimensional Scaling 50 2.7 Multidimensional Scaling 52 2.8 Design of
Psychophysical Experiments 54 2.9 Importance in Color Appearance Modeling
55 3 Colorimetry 56 3.1 Basic and Advanced Colorimetry 57 3.2 Why is Color?
57 3.3 Light Sources and Illuminants 59 3.4 Colored Materials 63 3.5 The
Human Visual Response 68 3.6 Tristimulus Values and Color Matching
Functions 70 3.7 Chromaticity Diagrams 77 3.8 Cie Color Spaces 79 3.9 Color
Difference Specification 81 3.10 The Next Step 83 4 Color Appearance
Terminology 85 4.1 Importance of Definitions 85 4.2 Color 86 4.3 Hue 88 4.4
Brightness and Lightness 88 4.5 Colorfulness and Chroma 90 4.6 Saturation
91 4.7 Unrelated and Related Colors 91 4.8 Definitions in Equations 92 4.9
Brightness-Colorfulness Vs Lightness-Chroma 94 5 Color Order Systems 97 5.1
Overview and Requirements 98 5.2 The Munsell Book of Color 99 5.3 The
Swedish Ncs 104 5.4 The Colorcurve System 106 5.5 Other Color Order Systems
107 5.6 Uses of Color Order Systems 109 5.7 Color Naming Systems 112 6
Color Appearance Phenomena 115 6.1 What are Color Appearance Phenomena? 115
6.2 Simultaneous Contrast, Crispening, and Spreading 116 6.3 Bezold-Brücke
Hue Shift (Hue Changes with Luminance) 120 6.4 Abney Effect (Hue Changes
with Colorimetric Purity) 121 6.5 Helmholtz-Kohlrausch Effect (Brightness
Depends On Luminance and Chromaticity) 123 6.6 Hunt Effect (Colorfulness
Increases with Luminance) 125 6.7 Stevens Effect (Contrast Increases with
Luminance) 127 6.8 Helson-Judd Effect (Hue of Non-Selective Samples) 129
6.9 Bartleson-Breneman Equations (Image Contrast Changes with Surround) 131
6.10 Discounting-the-Illuminant 132 6.11 Other Context, Structural, and
Psychological Effects 133 6.12 Color Constancy? 140 7 Viewing Conditions
142 7.1 Configuration of the Viewing Field 142 7.2 Colorimetric
Specification of the Viewing Field 146 7.3 Modes of Viewing 149 7.4
Unrelated and Related Colors Revisited 154 8 Chromatic Adaptation 156 8.1
Light, Dark, and Chromatic Adaptation 157 8.2 Physiology 159 8.3 Sensory
and Cognitive Mechanisms 170 8.4 Corresponding Colors Data 174 8.5 Models
177 8.6 Color Inconstancy Index 178 8.7 Computational Color Constancy 179 9
Chromatic Adaptation Models 181 9.1 Von Kries Model 182 9.2 Retinex Theory
186 9.3 Nayatani et al. Model 187 9.4 Guth's Model 190 9.5 Fairchild's 1990
Model 192 9.6 Herding Cats 196 9.7 Cat02 197 10 Color Appearance Models 199
10.1 Definition of Color Appearance Models 199 10.2 Construction of Color
Appearance Models 200 10.3 Cielab 201 10.4 Why Not Use Just Cielab? 210
10.5 What About Cieluv? 210 11 The Nayatani et al. Model 213 11.1
Objectives and Approach 213 11.2 Input Data 214 11.3 Adaptation Model 215
11.4 Opponent Color Dimensions 217 11.5 Brightness 218 11.6 Lightness 219
11.7 Hue 219 11.8 Saturation 220 11.9 Chroma 221 11.10 Colorfulness 221
11.11 Inverse Model 222 11.12 Phenomena Predicted 222 11.13 Why Not Use
Just the Nayatani et al. Model? 223 12 The Hunt Model 225 12.1 Objectives
and Approach 225 12.2 Input Data 226 12.3 Adaptation Model 228 12.4
Opponent Color Dimensions 233 12.5 Hue 234 12.6 Saturation 235 12.7
Brightness 236 12.8 Lightness 238 12.9 Chroma 238 12.10 Colorfulness 238
12.11 Inverse Model 239 12.12 Phenomena Predicted 241 12.13 Why Not Use
Just the Hunt Model? 242 13 The Rlab Model 243 13.1 Objectives and Approach
243 13.2 Input Data 245 13.3 Adaptation Model 246 13.4 Opponent Color
Dimensions 248 13.5 Lightness 250 13.6 Hue 250 13.7 Chroma 252 13.8
Saturation 252 13.9 Inverse Model 252 13.10 Phenomena Predicted 254 13.11
Why Not Use Just the Rlab Model? 254 14 Other Models 256 14.1 Overview 256
14.2 Atd Model 257 14.3 Llab Model 264 14.4 Ipt Color Space 271 15 The Cie
Color Appearance Model (1997), Ciecam97s 273 15.1 Historical Development,
Objectives, and Approach 273 15.2 Input Data 276 15.3 Adaptation Model 277
15.4 Appearance Correlates 279 15.5 Inverse Model 280 15.6 Phenomena
Predicted 281 15.7 The Zlab Color Appearance Model 282 15.8 Why Not Use
Just Ciecam97s? 285 16 Ciecam02 287 16.1 Objectives and Approach 287 16.2
Input Data 288 16.3 Adaptation Model 290 16.4 Opponent Color Dimensions 294
16.5 Hue 294 16.6 Lightness 295 16.7 Brightness 295 16.8 Chroma 295 16.9
Colorfulness 296 contents xi 16.10 Saturation 296 16.11 Cartesian
Coordinates 296 16.12 Inverse Model 297 16.13 Implementation Guidelines 297
16.14 Phenomena Predicted 298 16.15 Computational Issues 298 16.16
Cam02-Ucs 300 16.17 Why Not Use Just Ciecam02? 301 16.18 Outlook 301 17
Testing Color Appearance Models 303 17.1 Overview 303 17.2 Qualitative
Tests 304 17.3 Corresponding-Colors Data 308 17.4 Magnitude Estimation
Experiments 310 17.5 Direct Model Tests 312 17.6 Colorfulness in Projected
Images 316 17.7 Munsell in Color Appearance Spaces 317 17.8 Cie Activities
318 17.9 A Pictorial Review of Color Appearance Models 323 18 Traditional
Colorimetric Applications 328 18.1 Color Rendering 328 18.2 Color
Differences 333 18.3 Indices of Metamerism 335 18.4 A General System of
Colorimetry? 337 18.5 What About Observer Metamerism? 338 19
Device-Independent Color Imaging 341 19.1 The Problem 342 19.2 Levels of
Color Reproduction 343 19.3 A Revised Set of Objectives 345 19.4 General
Solution 348 19.5 Device Calibration and Characterization 349 19.6 The Need
for Color Appearance Models 354 19.7 Definition of Viewing Conditions 355
19.8 Viewing-Conditions-Independent Color Space 357 19.9 Gamut Mapping 357
19.10 Color Preferences 361 19.11 Inverse Process 362 19.12 Example System
363 19.13 Icc Implementation 364 20 I mage Appearance Modeling and the
Future 369 20.1 From Color Appearance to Image Appearance 370 20.2 S-Cielab
375 20.3 The icam Framework 376 20.4 A Modular Image Difference Model 382
20.5 Image Appearance and Rendering Applications 385 20.6 Image Difference
and Quality Applications 391 20.7 icam06 392 20.8 Orthogonal Color Space
393 20.9 Future Directions 396 21 High-Dynamic-Range Color Space 399 21.1
Luminance Dynamic Range 400 21.2 The Hdr Photographic Survey 401 21.3
Lightness-Brightness Beyond Diffuse White 403 21.4 hdr-Cielab 404 21.5
hdr-Ipt 406 21.6 Evans, G0, and Brilliance 407 21.7 The Nayatani
Theoretical Color Space 409 21.8 A New Kind of Appearance Space 409 21.9
Future Directions 416 References 418 Index 440
Series Preface xiii Preface xv Acknowledgments xviii Introduction xix 1
Human Color Vision 1 1.1 Optics of the Eye 2 1.2 The Retina 7 1.3 Visual
Signal Processing 14 1.4 Mechanisms of Color Vision 19 1.5 Spatial and
Temporal Properties of Color Vision 27 1.6 Color Vision Deficiencies 32 1.7
Key Features for Color Appearance Modeling 36 2 Psychophysics 38 2.1
Psychophysics Defined 39 2.2 Historical Context 40 2.3 Hierarchy of Scales
43 2.4 Threshold Techniques 45 2.5 Matching Techniques 49 2.6
One-Dimensional Scaling 50 2.7 Multidimensional Scaling 52 2.8 Design of
Psychophysical Experiments 54 2.9 Importance in Color Appearance Modeling
55 3 Colorimetry 56 3.1 Basic and Advanced Colorimetry 57 3.2 Why is Color?
57 3.3 Light Sources and Illuminants 59 3.4 Colored Materials 63 3.5 The
Human Visual Response 68 3.6 Tristimulus Values and Color Matching
Functions 70 3.7 Chromaticity Diagrams 77 3.8 Cie Color Spaces 79 3.9 Color
Difference Specification 81 3.10 The Next Step 83 4 Color Appearance
Terminology 85 4.1 Importance of Definitions 85 4.2 Color 86 4.3 Hue 88 4.4
Brightness and Lightness 88 4.5 Colorfulness and Chroma 90 4.6 Saturation
91 4.7 Unrelated and Related Colors 91 4.8 Definitions in Equations 92 4.9
Brightness-Colorfulness Vs Lightness-Chroma 94 5 Color Order Systems 97 5.1
Overview and Requirements 98 5.2 The Munsell Book of Color 99 5.3 The
Swedish Ncs 104 5.4 The Colorcurve System 106 5.5 Other Color Order Systems
107 5.6 Uses of Color Order Systems 109 5.7 Color Naming Systems 112 6
Color Appearance Phenomena 115 6.1 What are Color Appearance Phenomena? 115
6.2 Simultaneous Contrast, Crispening, and Spreading 116 6.3 Bezold-Brücke
Hue Shift (Hue Changes with Luminance) 120 6.4 Abney Effect (Hue Changes
with Colorimetric Purity) 121 6.5 Helmholtz-Kohlrausch Effect (Brightness
Depends On Luminance and Chromaticity) 123 6.6 Hunt Effect (Colorfulness
Increases with Luminance) 125 6.7 Stevens Effect (Contrast Increases with
Luminance) 127 6.8 Helson-Judd Effect (Hue of Non-Selective Samples) 129
6.9 Bartleson-Breneman Equations (Image Contrast Changes with Surround) 131
6.10 Discounting-the-Illuminant 132 6.11 Other Context, Structural, and
Psychological Effects 133 6.12 Color Constancy? 140 7 Viewing Conditions
142 7.1 Configuration of the Viewing Field 142 7.2 Colorimetric
Specification of the Viewing Field 146 7.3 Modes of Viewing 149 7.4
Unrelated and Related Colors Revisited 154 8 Chromatic Adaptation 156 8.1
Light, Dark, and Chromatic Adaptation 157 8.2 Physiology 159 8.3 Sensory
and Cognitive Mechanisms 170 8.4 Corresponding Colors Data 174 8.5 Models
177 8.6 Color Inconstancy Index 178 8.7 Computational Color Constancy 179 9
Chromatic Adaptation Models 181 9.1 Von Kries Model 182 9.2 Retinex Theory
186 9.3 Nayatani et al. Model 187 9.4 Guth's Model 190 9.5 Fairchild's 1990
Model 192 9.6 Herding Cats 196 9.7 Cat02 197 10 Color Appearance Models 199
10.1 Definition of Color Appearance Models 199 10.2 Construction of Color
Appearance Models 200 10.3 Cielab 201 10.4 Why Not Use Just Cielab? 210
10.5 What About Cieluv? 210 11 The Nayatani et al. Model 213 11.1
Objectives and Approach 213 11.2 Input Data 214 11.3 Adaptation Model 215
11.4 Opponent Color Dimensions 217 11.5 Brightness 218 11.6 Lightness 219
11.7 Hue 219 11.8 Saturation 220 11.9 Chroma 221 11.10 Colorfulness 221
11.11 Inverse Model 222 11.12 Phenomena Predicted 222 11.13 Why Not Use
Just the Nayatani et al. Model? 223 12 The Hunt Model 225 12.1 Objectives
and Approach 225 12.2 Input Data 226 12.3 Adaptation Model 228 12.4
Opponent Color Dimensions 233 12.5 Hue 234 12.6 Saturation 235 12.7
Brightness 236 12.8 Lightness 238 12.9 Chroma 238 12.10 Colorfulness 238
12.11 Inverse Model 239 12.12 Phenomena Predicted 241 12.13 Why Not Use
Just the Hunt Model? 242 13 The Rlab Model 243 13.1 Objectives and Approach
243 13.2 Input Data 245 13.3 Adaptation Model 246 13.4 Opponent Color
Dimensions 248 13.5 Lightness 250 13.6 Hue 250 13.7 Chroma 252 13.8
Saturation 252 13.9 Inverse Model 252 13.10 Phenomena Predicted 254 13.11
Why Not Use Just the Rlab Model? 254 14 Other Models 256 14.1 Overview 256
14.2 Atd Model 257 14.3 Llab Model 264 14.4 Ipt Color Space 271 15 The Cie
Color Appearance Model (1997), Ciecam97s 273 15.1 Historical Development,
Objectives, and Approach 273 15.2 Input Data 276 15.3 Adaptation Model 277
15.4 Appearance Correlates 279 15.5 Inverse Model 280 15.6 Phenomena
Predicted 281 15.7 The Zlab Color Appearance Model 282 15.8 Why Not Use
Just Ciecam97s? 285 16 Ciecam02 287 16.1 Objectives and Approach 287 16.2
Input Data 288 16.3 Adaptation Model 290 16.4 Opponent Color Dimensions 294
16.5 Hue 294 16.6 Lightness 295 16.7 Brightness 295 16.8 Chroma 295 16.9
Colorfulness 296 contents xi 16.10 Saturation 296 16.11 Cartesian
Coordinates 296 16.12 Inverse Model 297 16.13 Implementation Guidelines 297
16.14 Phenomena Predicted 298 16.15 Computational Issues 298 16.16
Cam02-Ucs 300 16.17 Why Not Use Just Ciecam02? 301 16.18 Outlook 301 17
Testing Color Appearance Models 303 17.1 Overview 303 17.2 Qualitative
Tests 304 17.3 Corresponding-Colors Data 308 17.4 Magnitude Estimation
Experiments 310 17.5 Direct Model Tests 312 17.6 Colorfulness in Projected
Images 316 17.7 Munsell in Color Appearance Spaces 317 17.8 Cie Activities
318 17.9 A Pictorial Review of Color Appearance Models 323 18 Traditional
Colorimetric Applications 328 18.1 Color Rendering 328 18.2 Color
Differences 333 18.3 Indices of Metamerism 335 18.4 A General System of
Colorimetry? 337 18.5 What About Observer Metamerism? 338 19
Device-Independent Color Imaging 341 19.1 The Problem 342 19.2 Levels of
Color Reproduction 343 19.3 A Revised Set of Objectives 345 19.4 General
Solution 348 19.5 Device Calibration and Characterization 349 19.6 The Need
for Color Appearance Models 354 19.7 Definition of Viewing Conditions 355
19.8 Viewing-Conditions-Independent Color Space 357 19.9 Gamut Mapping 357
19.10 Color Preferences 361 19.11 Inverse Process 362 19.12 Example System
363 19.13 Icc Implementation 364 20 I mage Appearance Modeling and the
Future 369 20.1 From Color Appearance to Image Appearance 370 20.2 S-Cielab
375 20.3 The icam Framework 376 20.4 A Modular Image Difference Model 382
20.5 Image Appearance and Rendering Applications 385 20.6 Image Difference
and Quality Applications 391 20.7 icam06 392 20.8 Orthogonal Color Space
393 20.9 Future Directions 396 21 High-Dynamic-Range Color Space 399 21.1
Luminance Dynamic Range 400 21.2 The Hdr Photographic Survey 401 21.3
Lightness-Brightness Beyond Diffuse White 403 21.4 hdr-Cielab 404 21.5
hdr-Ipt 406 21.6 Evans, G0, and Brilliance 407 21.7 The Nayatani
Theoretical Color Space 409 21.8 A New Kind of Appearance Space 409 21.9
Future Directions 416 References 418 Index 440
Human Color Vision 1 1.1 Optics of the Eye 2 1.2 The Retina 7 1.3 Visual
Signal Processing 14 1.4 Mechanisms of Color Vision 19 1.5 Spatial and
Temporal Properties of Color Vision 27 1.6 Color Vision Deficiencies 32 1.7
Key Features for Color Appearance Modeling 36 2 Psychophysics 38 2.1
Psychophysics Defined 39 2.2 Historical Context 40 2.3 Hierarchy of Scales
43 2.4 Threshold Techniques 45 2.5 Matching Techniques 49 2.6
One-Dimensional Scaling 50 2.7 Multidimensional Scaling 52 2.8 Design of
Psychophysical Experiments 54 2.9 Importance in Color Appearance Modeling
55 3 Colorimetry 56 3.1 Basic and Advanced Colorimetry 57 3.2 Why is Color?
57 3.3 Light Sources and Illuminants 59 3.4 Colored Materials 63 3.5 The
Human Visual Response 68 3.6 Tristimulus Values and Color Matching
Functions 70 3.7 Chromaticity Diagrams 77 3.8 Cie Color Spaces 79 3.9 Color
Difference Specification 81 3.10 The Next Step 83 4 Color Appearance
Terminology 85 4.1 Importance of Definitions 85 4.2 Color 86 4.3 Hue 88 4.4
Brightness and Lightness 88 4.5 Colorfulness and Chroma 90 4.6 Saturation
91 4.7 Unrelated and Related Colors 91 4.8 Definitions in Equations 92 4.9
Brightness-Colorfulness Vs Lightness-Chroma 94 5 Color Order Systems 97 5.1
Overview and Requirements 98 5.2 The Munsell Book of Color 99 5.3 The
Swedish Ncs 104 5.4 The Colorcurve System 106 5.5 Other Color Order Systems
107 5.6 Uses of Color Order Systems 109 5.7 Color Naming Systems 112 6
Color Appearance Phenomena 115 6.1 What are Color Appearance Phenomena? 115
6.2 Simultaneous Contrast, Crispening, and Spreading 116 6.3 Bezold-Brücke
Hue Shift (Hue Changes with Luminance) 120 6.4 Abney Effect (Hue Changes
with Colorimetric Purity) 121 6.5 Helmholtz-Kohlrausch Effect (Brightness
Depends On Luminance and Chromaticity) 123 6.6 Hunt Effect (Colorfulness
Increases with Luminance) 125 6.7 Stevens Effect (Contrast Increases with
Luminance) 127 6.8 Helson-Judd Effect (Hue of Non-Selective Samples) 129
6.9 Bartleson-Breneman Equations (Image Contrast Changes with Surround) 131
6.10 Discounting-the-Illuminant 132 6.11 Other Context, Structural, and
Psychological Effects 133 6.12 Color Constancy? 140 7 Viewing Conditions
142 7.1 Configuration of the Viewing Field 142 7.2 Colorimetric
Specification of the Viewing Field 146 7.3 Modes of Viewing 149 7.4
Unrelated and Related Colors Revisited 154 8 Chromatic Adaptation 156 8.1
Light, Dark, and Chromatic Adaptation 157 8.2 Physiology 159 8.3 Sensory
and Cognitive Mechanisms 170 8.4 Corresponding Colors Data 174 8.5 Models
177 8.6 Color Inconstancy Index 178 8.7 Computational Color Constancy 179 9
Chromatic Adaptation Models 181 9.1 Von Kries Model 182 9.2 Retinex Theory
186 9.3 Nayatani et al. Model 187 9.4 Guth's Model 190 9.5 Fairchild's 1990
Model 192 9.6 Herding Cats 196 9.7 Cat02 197 10 Color Appearance Models 199
10.1 Definition of Color Appearance Models 199 10.2 Construction of Color
Appearance Models 200 10.3 Cielab 201 10.4 Why Not Use Just Cielab? 210
10.5 What About Cieluv? 210 11 The Nayatani et al. Model 213 11.1
Objectives and Approach 213 11.2 Input Data 214 11.3 Adaptation Model 215
11.4 Opponent Color Dimensions 217 11.5 Brightness 218 11.6 Lightness 219
11.7 Hue 219 11.8 Saturation 220 11.9 Chroma 221 11.10 Colorfulness 221
11.11 Inverse Model 222 11.12 Phenomena Predicted 222 11.13 Why Not Use
Just the Nayatani et al. Model? 223 12 The Hunt Model 225 12.1 Objectives
and Approach 225 12.2 Input Data 226 12.3 Adaptation Model 228 12.4
Opponent Color Dimensions 233 12.5 Hue 234 12.6 Saturation 235 12.7
Brightness 236 12.8 Lightness 238 12.9 Chroma 238 12.10 Colorfulness 238
12.11 Inverse Model 239 12.12 Phenomena Predicted 241 12.13 Why Not Use
Just the Hunt Model? 242 13 The Rlab Model 243 13.1 Objectives and Approach
243 13.2 Input Data 245 13.3 Adaptation Model 246 13.4 Opponent Color
Dimensions 248 13.5 Lightness 250 13.6 Hue 250 13.7 Chroma 252 13.8
Saturation 252 13.9 Inverse Model 252 13.10 Phenomena Predicted 254 13.11
Why Not Use Just the Rlab Model? 254 14 Other Models 256 14.1 Overview 256
14.2 Atd Model 257 14.3 Llab Model 264 14.4 Ipt Color Space 271 15 The Cie
Color Appearance Model (1997), Ciecam97s 273 15.1 Historical Development,
Objectives, and Approach 273 15.2 Input Data 276 15.3 Adaptation Model 277
15.4 Appearance Correlates 279 15.5 Inverse Model 280 15.6 Phenomena
Predicted 281 15.7 The Zlab Color Appearance Model 282 15.8 Why Not Use
Just Ciecam97s? 285 16 Ciecam02 287 16.1 Objectives and Approach 287 16.2
Input Data 288 16.3 Adaptation Model 290 16.4 Opponent Color Dimensions 294
16.5 Hue 294 16.6 Lightness 295 16.7 Brightness 295 16.8 Chroma 295 16.9
Colorfulness 296 contents xi 16.10 Saturation 296 16.11 Cartesian
Coordinates 296 16.12 Inverse Model 297 16.13 Implementation Guidelines 297
16.14 Phenomena Predicted 298 16.15 Computational Issues 298 16.16
Cam02-Ucs 300 16.17 Why Not Use Just Ciecam02? 301 16.18 Outlook 301 17
Testing Color Appearance Models 303 17.1 Overview 303 17.2 Qualitative
Tests 304 17.3 Corresponding-Colors Data 308 17.4 Magnitude Estimation
Experiments 310 17.5 Direct Model Tests 312 17.6 Colorfulness in Projected
Images 316 17.7 Munsell in Color Appearance Spaces 317 17.8 Cie Activities
318 17.9 A Pictorial Review of Color Appearance Models 323 18 Traditional
Colorimetric Applications 328 18.1 Color Rendering 328 18.2 Color
Differences 333 18.3 Indices of Metamerism 335 18.4 A General System of
Colorimetry? 337 18.5 What About Observer Metamerism? 338 19
Device-Independent Color Imaging 341 19.1 The Problem 342 19.2 Levels of
Color Reproduction 343 19.3 A Revised Set of Objectives 345 19.4 General
Solution 348 19.5 Device Calibration and Characterization 349 19.6 The Need
for Color Appearance Models 354 19.7 Definition of Viewing Conditions 355
19.8 Viewing-Conditions-Independent Color Space 357 19.9 Gamut Mapping 357
19.10 Color Preferences 361 19.11 Inverse Process 362 19.12 Example System
363 19.13 Icc Implementation 364 20 I mage Appearance Modeling and the
Future 369 20.1 From Color Appearance to Image Appearance 370 20.2 S-Cielab
375 20.3 The icam Framework 376 20.4 A Modular Image Difference Model 382
20.5 Image Appearance and Rendering Applications 385 20.6 Image Difference
and Quality Applications 391 20.7 icam06 392 20.8 Orthogonal Color Space
393 20.9 Future Directions 396 21 High-Dynamic-Range Color Space 399 21.1
Luminance Dynamic Range 400 21.2 The Hdr Photographic Survey 401 21.3
Lightness-Brightness Beyond Diffuse White 403 21.4 hdr-Cielab 404 21.5
hdr-Ipt 406 21.6 Evans, G0, and Brilliance 407 21.7 The Nayatani
Theoretical Color Space 409 21.8 A New Kind of Appearance Space 409 21.9
Future Directions 416 References 418 Index 440