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Color Appearance Models |
5 |
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Copyright |
6 |
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Contents |
9 |
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Series Preface |
15 |
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Preface |
17 |
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Acknowledgments |
20 |
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Introduction |
21 |
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1 Human Color Vision |
25 |
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1.1 Optics of the Eye |
26 |
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The Cornea |
27 |
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The Lens |
27 |
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The Humors |
28 |
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The Iris |
28 |
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The Retina |
29 |
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The Fovea |
29 |
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The Macula |
30 |
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The Optic Nerve |
30 |
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1.2 The Retina |
31 |
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Rods and Cones |
32 |
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Intrinsically Photosensitive Retinal Ganglion Cells |
38 |
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1.3 Visual Signal Processing |
38 |
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Receptive Fields |
40 |
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Processing in Area V1 |
41 |
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1.4 Mechanisms of Color Vision |
43 |
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Trichromatic Theory |
43 |
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Hering’s Opponent Colors Theory |
43 |
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Modern Opponent Colors Theory |
44 |
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Adaptation Mechanisms |
45 |
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Visual Mechanisms Impacting Color Appearance |
50 |
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1.5 Spatial and Temporal Properties of Color Vision |
51 |
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The Oblique Effect |
55 |
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CSFs and Eye Movements |
56 |
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1.6 Color Vision Deficiencies |
56 |
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Protanopia, Deuteranopia, and Tritanopia |
56 |
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Anomalous Trichromacy |
57 |
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Color Vision Deficiencies and Gender |
59 |
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Screening Observers Who Make Color Judgments |
60 |
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1.7 Key Features for Color Appearance Modeling |
60 |
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2 Psychophysics |
62 |
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2.1 Psychophysics Defined |
63 |
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Two Classes of Visual Experiments |
63 |
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2.2 Historical Context |
64 |
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Weber’s Work |
64 |
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Fechner’s Work |
65 |
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Stevens’ Work |
66 |
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2.3 Hierarchy Of Scales |
67 |
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Nominal Scales |
67 |
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Ordinal Scales |
67 |
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Interval Scales |
68 |
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Ratio Scales |
68 |
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Example of the Use of Scales |
68 |
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2.4 Threshold Techniques |
69 |
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Types of Threshold Experiments |
70 |
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Method of Adjustment |
70 |
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Method of Limits |
70 |
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hod of Constant Stimuli |
71 |
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Yes–No Method |
71 |
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Forced-Choice Procedures |
71 |
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Staircase Procedures |
72 |
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Probit Analysis of Threshold Data |
72 |
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2.5 Matching Techniques |
73 |
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Asymmetric Matching |
73 |
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Memory Matching |
73 |
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2.6 One-Dimensional Scaling |
74 |
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2.7 Multidimensional Scaling |
76 |
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2.8 Design of Psychophysical Experiments |
78 |
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2.9 Importance in Color Appearance Modeling |
79 |
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3 Colorimetry |
80 |
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3.1 Basic and Advanced Colorimetry |
81 |
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3.2 Why is Color? |
81 |
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3.3 Light Sources and Illuminants |
83 |
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Spectroradiometry |
83 |
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Black-Body Radiators |
84 |
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CIE Illuminants |
85 |
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3.4 Colored Materials |
87 |
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CIE Illumination and Viewing Geometries |
89 |
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Diffuse/Normal and Normal/Diffuse |
90 |
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45/Normal and Normal/45 |
91 |
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Fluorescence |
92 |
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3.5 The Human Visual Response |
92 |
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The System of Photometry |
93 |
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3.6 Tristimulus Values and Color Matching Functions |
94 |
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Tristimulus Values for Any Stimulus |
95 |
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Estimating Average Color Matching Functions |
97 |
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Two Sets of Color Matching Functions |
100 |
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3.7 Chromaticity Diagrams |
101 |
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3.8 CIE Color Spaces |
103 |
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CIELAB |
104 |
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CIELUV |
104 |
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3.9 Color Difference Specification |
105 |
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3.10 The Next Step |
107 |
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4 Color Appearance Terminology |
109 |
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4.1 Importance of Definitions |
109 |
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4.2 Color |
110 |
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4.3 Hue |
112 |
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4.4 Brightness and Lightness |
112 |
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4.5 Colorfulness and Chroma |
114 |
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4.6 Saturation |
115 |
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4.7 Unrelated and Related Colors |
115 |
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4.8 Definitions in Equations |
116 |
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4.9 Brightness–Colorfulness vs Lightness–Chroma |
118 |
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5 Color Order Systems |
121 |
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5.1 Overview and Requirements |
122 |
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5.2 The Munsell Book of Color |
123 |
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Munsell Value |
123 |
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Munsell Hue |
125 |
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Munsell Chroma |
125 |
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Munsell Book of Color |
125 |
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5.3 The Swedish NCS |
128 |
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5.4 The Colorcurve System |
130 |
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5.5 Other Color Order Systems |
131 |
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OSA Uniform Color Scales |
131 |
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DIN System |
132 |
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Ostwald System |
133 |
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5.6 Uses of Color Order Systems |
133 |
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Color Order Systems in Visual Experiments |
134 |
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Color Order Systems in Art and Design |
134 |
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Color Order Systems in Communication |
134 |
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Color Order Systems in Education |
135 |
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Color Order Systems to Evaluate Mathematical Color Appearance Models |
135 |
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Color Order Systems and Imaging Systems |
136 |
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Limitations of Color Order Systems |
136 |
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5.7 Color Naming Systems |
136 |
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The PANTONE System |
137 |
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The Trumatch System |
137 |
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Other Systems |
137 |
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6 Color Appearance Phenomena |
139 |
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6.1 What are Color Appearance Phenomena? |
139 |
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6.2 Simultaneous Contrast, Crispening, and Spreading |
140 |
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Simultaneous Contrast |
140 |
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Crispening |
143 |
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Spreading |
143 |
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6.3 Bezold–Brücke Hue Shift (Hue Changes With Luminance) |
144 |
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6.4 Abney Effect (Hue Changes with Colorimetric Purity) |
145 |
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6.5 Helmholtz–Kohlrausch Effect (Brightness Depends on Luminance and Chromaticity) |
147 |
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6.6 Hunt Effect (Colorfulness increases with Luminance) |
149 |
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6.7 Stevens Effect (Contrast Increases with Luminance) |
151 |
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6.8 Helson–Judd Effect (Hue of Non-Selective Samples) |
153 |
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6.9 Bartleson–Breneman Equations (Image Contrast changes with Surround) |
155 |
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6.10 Discounting-the-Illuminant |
156 |
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6.11 Other Context, Structural, and Psychological Effects |
157 |
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Two-Color Projections |
161 |
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6.12 Color Constancy? |
164 |
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7 Viewing Conditions |
166 |
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7.1 Configuration of the Viewing Field |
166 |
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Stimulus |
167 |
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Proximal Field |
169 |
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Background |
169 |
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Surround |
170 |
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7.2 Colorimetric Specification of the viewing field |
170 |
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7.3 Modes of Viewing |
173 |
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Illuminant |
175 |
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Illumination |
177 |
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Surface |
177 |
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Volume |
177 |
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Film |
177 |
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7.4 Unrelated and Related Colors Revisited |
178 |
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8 Chromatic Adaptation |
180 |
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8.1 Light, Dark, and Chromatic Adaptation |
181 |
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Light Adaptation |
181 |
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Dark Adaptation |
182 |
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Chromatic Adaptation |
182 |
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8.2 Physiology |
183 |
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Pupil Dilation/Constriction |
185 |
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Role of the Rods and Cones |
185 |
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Receptor Gain Control |
187 |
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Subtractive Mechanisms |
187 |
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High-Level Adpaptation Mechanisms |
189 |
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8.3 Sensory and Cognitive Mechanisms |
194 |
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Sensory Mechanisms |
194 |
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Cognitive Mechanisms |
195 |
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Hard-Copy Vs Soft-Copy Output |
196 |
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The Time-Course of Adaptation |
196 |
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8.4 Corresponding Colors Data |
198 |
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Asymmetric Matching |
198 |
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Haploscopic Matching |
199 |
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Memory Matching |
199 |
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Magnitude Estimation |
199 |
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Cross-Media Comparisons |
200 |
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8.5 Models |
201 |
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8.6 Color Inconstancy Index |
202 |
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8.7 Computational Color Constancy |
203 |
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9 Chromatic Adaptation Models |
205 |
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9.1 Von Kries Model |
206 |
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9.2 Retinex Theory |
210 |
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9.3 Nayatani et al. Model |
211 |
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MacAdam’s Model |
211 |
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Nayatani’s Model |
212 |
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9.4 Guth’s Model |
214 |
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9.5 Fairchild’s 1990 Model |
216 |
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9.6 Herding Cats |
220 |
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9.7 CAT02 |
221 |
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10 Color Appearance Models |
223 |
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10.1 Definition of Color Appearance Models |
223 |
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10.2 Construction of Color Appearance Models |
224 |
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10.3 CIELAB |
225 |
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Calculating CIELAB Coordinates |
225 |
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Wrong von Kries Transform |
230 |
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10.4 Why not use just CIELAB? |
234 |
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10.5 What about CIELUV? |
234 |
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11 The Nayatani et al. Model |
237 |
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11.1 Objectives and Approach |
237 |
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11.2 Input Data |
238 |
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11.3 Adaptation Model |
239 |
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11.4 Opponent Color Dimensions |
241 |
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11.5 Brightness |
242 |
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11.6 Lightness |
243 |
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11.7 Hue |
243 |
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11.8 Saturation |
244 |
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11.9 Chroma |
245 |
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11.10 Colorfulness |
245 |
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11.11 Inverse Model |
246 |
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11.12 Phenomena Predicted |
246 |
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11.13 Why not use just the Nayatani et al. model? |
247 |
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12 The Hunt Model |
249 |
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12.1 Objectives and Approach |
249 |
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12.2 Input Data |
250 |
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12.3 Adaptation Model |
252 |
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12.4 Opponent Color Dimensions |
257 |
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12.5 Hue |
258 |
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12.6 Saturation |
259 |
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12.7 Brightness |
260 |
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12.8 Lightness |
262 |
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12.9 Chroma |
262 |
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12.10 Colorfulness |
262 |
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12.11 Inverse Model |
263 |
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12.12 Phenomena Predicted |
265 |
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12.13 Why not use just the Hunt Model? |
266 |
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13 The RLAB Model |
267 |
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13.1 Objectives and Approach |
267 |
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13.2 Input Data |
269 |
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13.3 Adaptation Model |
270 |
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13.4 Opponent Color Dimensions |
272 |
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13.5 Lightness |
274 |
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13.6 Hue |
274 |
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13.7 Chroma |
276 |
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13.8 Saturation |
276 |
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13.9 Inverse Model |
276 |
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13.10 Phenomena Predicted |
278 |
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13.11 Why not use just the RLAB Model? |
278 |
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14 Other Models |
280 |
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14.1 Overview |
280 |
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14.2 ATD Model |
281 |
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Objectives and Approach |
282 |
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Input Data |
282 |
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Adaptation Model |
283 |
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Opponent Color Dimensions |
284 |
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Perceptual Correlates |
285 |
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Phenomena Predicted |
286 |
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Why Not Use Just the ATD Model? |
286 |
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ATD04 Model |
287 |
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14.3 LLAB Model |
288 |
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Objectives and Approach |
288 |
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Input Data |
289 |
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Adaptation Model |
289 |
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Opponent Color Dimensions |
291 |
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Perceptual Correlates |
292 |
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Color Differences |
293 |
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Phenomena Predicted |
293 |
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Why Not Use Just the LLAB Model? |
294 |
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14.4 IPT Color Space |
295 |
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Why Not Use Just the IPT Model? |
296 |
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15 The CIE Color Appearance Model (1997), CIECAM97s |
297 |
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15.1 Historical Development, Objectives, and Approach |
297 |
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15.2 Input Data |
300 |
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15.3 Adaptation Model |
301 |
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15.4 Appearance Correlates |
303 |
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15.5 Inverse Model |
304 |
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15.6 Phenomena Predicted |
305 |
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15.7 The ZLAB Color Appearance Model |
306 |
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Input Data |
306 |
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Chromatic Adaptation |
306 |
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Appearance Correlates |
308 |
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15.8 Why not use just CIECAM97s? |
309 |
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16 CIECAM02 |
311 |
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16.1 Objectives and Approach |
311 |
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16.2 Input Data |
312 |
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16.3 Adaptation Model |
314 |
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A Note on the CIECAM02 Chromatic Adaptation Transform |
315 |
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Remainder of CIECAM02 Adaptation Model |
316 |
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16.4 Opponent Color Dimensions |
318 |
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16.5 Hue |
318 |
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16.6 Lightness |
319 |
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16.7 Brightness |
319 |
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16.8 Chroma |
319 |
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16.9 Colorfulness |
320 |
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16.10 Saturation |
320 |
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16.11 Cartesian Coordinates |
320 |
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16.12 Inverse Model |
321 |
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16.13 Implementation Guidelines |
321 |
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16.14 Phenomena Predicted |
322 |
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16.15 Computational Issues |
322 |
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16.16 CAM02-UCS |
324 |
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16.17 Why not use just CIECAM02? |
325 |
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16.18 Outlook |
325 |
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17 Testing Color Appearance Models |
327 |
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17.1 Overview |
327 |
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17.2 Qualitative Tests |
328 |
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17.3 Corresponding-Colors Data |
332 |
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17.4 Magnitude Estimation Experiments |
334 |
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17.5 Direct Model Tests |
336 |
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17.6 Colorfulness In Projected Images |
340 |
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17.7 Munsell in Color Appearance Spaces |
341 |
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17.8 CIE Activities |
342 |
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TC1-34, Testing Colour-Appearance Models |
342 |
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TC1-27, Specification of Colour Appearance for Reflective Media and Self-Luminous Display Comparisons |
344 |
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TC1-33, Color Rendering |
345 |
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TC1-52, Chromatic Adaptation Transform |
345 |
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R1-24 Colour Appearance Models |
345 |
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TC8-01, Colour Appearance Modeling for Colour Management Applications |
345 |
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TC8-04, Adaptation Under Mixed Illumination Conditions |
346 |
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TC8-08, Testing of Spatial Colour Appearance Model |
346 |
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R8-05 Image Appearance |
346 |
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R8-06, Results of CIECAM02 |
346 |
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TC8-11, CIECAM02 Mathematics |
347 |
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TC1-75, a Comprehensive Model of Colour Appearance |
347 |
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TC1-76, Unique Hue Data |
347 |
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17.9 A Pictorial Review of Color Appearance Models |
347 |
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18 Traditional Colorimetric Applications |
352 |
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18.1 Color Rendering |
352 |
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Current Techniques and Recommendations |
354 |
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Application of Color Appearance Models |
355 |
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Future Directions |
355 |
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18.2 Color Differences |
357 |
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Current Techniques and Recommendations |
357 |
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Application of Color Appearance Models |
358 |
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Future Directions |
359 |
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18.3 Indices of Metamerism |
359 |
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Current Techniques and Recommendations |
360 |
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Application of Color Appearance Models |
361 |
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Future Directions |
361 |
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18.4 A General System of Colorimetry? |
361 |
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18.5 What about Observer Metamerism? |
362 |
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19 Device-Independent Color Imaging |
365 |
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19.1 The Problem |
366 |
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19.2 Levels of Color Reproduction |
367 |
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Spectral Color Reproduction |
367 |
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Colorimetric Color Reproduction |
368 |
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Exact Color Reproduction |
368 |
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Equivalent Color Reproduction |
368 |
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Corresponding Color Reproduction |
368 |
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Preferred Color Reproduction |
369 |
|
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19.3 A Revised set of Objectives |
369 |
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19.4 General Solution |
372 |
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19.5 Device Calibration and Characterization |
373 |
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Three Approaches to Device Characterization |
374 |
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Physical Modeling |
374 |
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Empirical Modeling |
375 |
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Exhaustive Measurement |
375 |
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Types of Colorimetric Measurements |
376 |
|
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Flare, Metamerism, and Fluorescence |
376 |
|
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Flare |
377 |
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Metamerism |
377 |
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Fluorescence |
377 |
|
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19.6 The Need for Color Appearance Models |
378 |
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19.7 Definition of Viewing Conditions |
379 |
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19.8 Viewing-Conditions-Independent Color Space |
381 |
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19.9 Gamut Mapping |
381 |
|
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19.10 Color Preferences |
385 |
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19.11 Inverse Process |
386 |
|
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19.12 Example System |
387 |
|
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19.13 ICC Implementation |
388 |
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Profile Connection Space |
389 |
|
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20 Image Appearance Modeling and the Future |
393 |
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20.1 From Color Appearance to Image Appearance |
394 |
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Image Colorimetry |
394 |
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Color Difference Equations |
395 |
|
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Image Difference |
395 |
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olor Appearance |
396 |
|
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Image Appearance and Image Quality |
396 |
|
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Color and Image Appearance Models |
399 |
|
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20.2 S-CIELAB |
399 |
|
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20.3 The iCAM Framework |
400 |
|
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20.4 A Modular Image Difference Model |
406 |
|
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Spatial Filtering |
407 |
|
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Spatial Frequency Adaptation |
407 |
|
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Spatial Localization |
409 |
|
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Local Contrast Detection |
409 |
|
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Color Difference Map |
409 |
|
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20.5 Image Appearance and Rendering Applications |
409 |
|
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20.6 Image Difference and Quality Applications |
415 |
|
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20.7 iCAM06 |
416 |
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20.8 Orthogonal Color Space |
417 |
|
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20.9 Future Directions |
420 |
|
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One Color Appearance Model? |
420 |
|
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Other Color Appearance Models |
421 |
|
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Ongoing Research to Test Models |
421 |
|
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Ongoing Model Development |
422 |
|
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21 High-Dynamic-Range Color Space |
423 |
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21.1 Luminance Dynamic Range |
424 |
|
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21.2 The HDR Photographic Survey |
425 |
|
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21.3 Lightness–Brightness Beyond Diffuse White |
427 |
|
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21.4 hdr-CIELAB |
428 |
|
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21.5 hdr-IPT |
430 |
|
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21.6 Evans, G0, and Brilliance |
431 |
|
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21.7 The Nayatani Theoretical Color Space |
433 |
|
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21.8 A New Kind of Appearance Space |
433 |
|
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21.9 Future Directions |
440 |
|
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What To Do Now |
440 |
|
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References |
442 |
|
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Index |
464 |
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