Color Appearance Models 3rd Edition

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--Brucke 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