
Illumination, Color and Imaging : Evaluation and Optimization of Visual Displays
[BOOK DESCRIPTION]
This much needed, comprehensive and modern reference on display technology, illumination sources and color imaging focuses on visual effects and how reproduced images are best matched to human visual features. As such, it teaches readers how to exploit the knowledge of human color information processing to design usable, ergonomic, and pleasing displays or visual environments. The contents describe design principles and methods to optimize self-luminous visual technologies for the human user, including modern still and motion image displays, and indoor light sources. Design principles and methods are derived from the knowledge of the human visual system, with a special emphasis on color vision, color cognition, color harmony, color preference and visually evoked emotions. The expert authors include the most important and latest applications of the design principles and methods, forming a comprehensive view of human color information processing from the receptors through the retina via high-level visual perception right up to the level of cognition, preference, harmony, as well as visually evoked emotions. This book is included in the Wiley SID Series.
[TABLE OF CONTENTS]
Series Editor's Foreword xiii
Preface xv
About the Authors xxi
1 Color Vision and Self-Luminous Visual 1 (24)
Technologies
1.1 Color Vision Features and the 2 (16)
Optimization of Modern Self-Luminous
Visual Technologies
1.1.1 From Photoreceptor Structure to 2 (4)
Colorimetry
1.1.2 Spatial and Temporal Contrast 6 (6)
Sensitivity
1.1.3 Color Appearance Perception 12 (3)
1.1.4 Color Difference Perception 15 (2)
1.1.5 Cognitive, Preferred, Harmonic, 17 (1)
and Emotional Color
1.1.6 Interindividual Variability of 18 (1)
Color Vision
1.2 Color Vision-Related Technological 18 (2)
Features of Modern Self-Luminous
(Nonprinting) Visual Technologies
1.3 Perceptual, Cognitive, and Emotional 20 (5)
Features of the Visual System and the
Corresponding Technological Challenge
References 23 (2)
2 Colorimetric and Color Appearance-Based 25 (72)
Characterization of Displays
2.1 Characterization Models and Visual 25 (26)
Artifacts in General
2.1.1 Tone Curve Models and Phosphor 26 (1)
Matrices
2.1.2 Measured Color Characteristics, 27 (8)
sRGB, and Other Characterization Models
2.1.3 Additivity and Independence of 35 (1)
the Color Channels
2.1.4 Multidimensional Phosphor 35 (4)
Matrices and Other Methods
2.1.5 Spatial Uniformity and Spatial 39 (6)
Independence
2.1.6 Viewing Direction Uniformity 45 (1)
2.1.7 Other Visual Artifacts 46 (2)
2.1.8 The Viewing Environment: Viewing 48 (1)
Conditions and Modes
2.1.9 Application of CIELAB, CIELUV, 49 (2)
and CIECAM02 to Self-Luminous Displays
2.2 Characterization Models and Visual 51 (21)
Artifacts of the Different Display
Technologies
2.2.1 Modern Applications of the 52 (1)
Different Display Technologies
2.2.2 Special Characterization Models 53 (1)
of the Different Displays
2.2.2.1 CRT 53 (2)
22.2.2 PDP 55 (5)
2.2.2.3 Various LCD Technologies and 60 (7)
Their Viewing Direction Uniformity
2.2.2.4 Head-Mounted Displays and 67 (1)
Head-Up Displays
2.2.2.5 Projectors Including DMD and LCD 68 (3)
2.2.2.6 OLEDs 71 (1)
2.3 Display Light Source Technologies 72 (9)
2.3.1 Projector Light Sources 73 (2)
2.3.2 Backlight Sources 75 (4)
2.3.3 Color Filters, Local Dimming, and 79 (2)
High Dynamic Range Imaging
2.4 Color Appearance of Large Viewing 81 (16)
Angle Displays
2.4.1 Color Appearance Differences 81 (1)
between Small and Large Color Stimuli
2.4.1.1 Color Appearance of an 82 (5)
Immersive Color Stimulus on a PDP
2.4.1.2 Xiao et al.'s Experiment on the 87 (1)
Appearance of a Self-Luminous 50 Color
Stimulus on an LCD
2.4.2 Mathematical Modeling of the 87 (4)
Color Size Effect
References 91 (6)
3 Ergonomic, Memory-Based, and 97 (64)
Preference-Based Enhancement of Color
Displays
3.1 Ergonomic Guidelines for Displays 97 (8)
3.2 Objectives of Color Image Reproduction 105 (2)
3.3 Ergonomic Design of Color Displays: 107 (27)
Optimal Use of Chromaticity Contrast
3.3.1 Principles of Ergonomic Color 107 (1)
Design
3.3.2 Legibility, Conspicuity, and 108 (3)
Visual Search
3.3.3 Chromaticity Contrast for Optimal 111 (12)
Search Performance
3.3.4 Chromaticity and Luminance 123 (11)
Contrast Preference
3.4 Long-Term Memory Colors, 134 (8)
Intercultural Differences, and Their Use
to Evaluate and Improve Color Image
Quality
3.4.1 Long-Term Memory Colors for 135 (4)
Familiar Objects
3.4.2 Intercultural Differences of 139 (2)
Long-Term Memory Colors
3.4.3 Increasing Color Quality by 141 (1)
Memory Colors
3.5 Color Image Preference for White 142 (9)
Point, Local Contrast, Global Contrast,
Hue, and Chroma
3.5.1 Apparatus and Method to Obtain a 143 (1)
Color Image Preference Data Set
3.5.2 Image Transforms of Color Image 144 (1)
Preference
3.5.3 Preferred White Point 144 (3)
3.5.4 Preferred Local Contrast 147 (1)
3.5.5 Preferred Global Contrast 147 (3)
3.5.6 Preferred Hue and Chroma 150 (1)
3.6 Age-Dependent Method for 151 (10)
Preference-Based Color Image Enhancement
with Color Image Descriptors
References 156 (5)
4 Color Management and Image Quality 161 (76)
Improvement for Cinema Film and TV
Production
4.1 Workflow in Cinema Film and TV 161 (5)
Production Today - Components and Systems
4.1.1 Workflow 161 (3)
4.1.2 Structure of Color Management in 164 (1)
Today's Cinema and TV Technology
4.1.3 Color Management Solutions 165 (1)
4.2 Components of the Cinema Production 166 (25)
Chain
4.2.1 Camera Technology in Overview 166 (8)
4.2.2 Postproduction Systems 174 (2)
4.2.3 CIELAB and CIEDE 2000 Color 176 (2)
Difference Formulas Under the Viewing
Conditions of TV and Cinema Production
4.2.3.1 Procedure of the Visual 178 (3)
Experiment
4.2.3.2 Experimental Results 181 (3)
4.2.4 Applications of the CIECAM02 184 (7)
Color Appearance Model in the Digital
Image Processing System for Motion
Picture Films
4.3 Color Gamut Differences 191 (4)
4.4 Exploiting the Spatial-Temporal 195 (28)
Characteristics of Color Vision for
Digital TV, Cinema, and Camera Development
4.4.1 Spatial and Temporal 195 (4)
Characteristics in TV and Cinema
Production
4.4.2 Optimization of the Resolution of 199 (6)
Digital Motion Picture Cameras
4.4.3 Perceptual and Image Quality 205 (1)
Aspects of Compressed Motion Pictures
4.4.3.1 Necessity of Motion Picture 205 (1)
Compression
4.4.3.2 Methods of Image Quality 205 (2)
Evaluation
4.4.3.3 The Image Quality Experiment 207 (7)
4.4.4 Perception-Oriented Development 214 (1)
of Watermarking Algorithms for the
Protection of Digital Motion Picture
Films
4.4.4.1 Motivation and Aims of 214 (2)
Watermarking Development
4.4.4.2 Requirements for Watermarking 216 (1)
Technology
4.4.4.3 Experiment to Test Watermark 217 (6)
Implementations
4.5 Optimum Spectral Power Distributions 223 (6)
for Cinematographic Light Sources and
Their Color Rendering Properties
4.6 Visually Evoked Emotions in Color 229 (8)
Motion Pictures
4.6.1 Technical Parameters, 229 (2)
Psychological Factors, and Visually
Evoked Emotions
4.6.2 Emotional Clusters: Modeling 231 (2)
Emotional Strength
References 233 (4)
5 Pixel Architectures for Displays of 237 (36)
Three- and Multi-Color Primaries
5.1 Optimization Principles for Three- 238 (12)
and Multi-Primary Color Displays to
Obtain a Large Color Gamut
5.1.1 Target Color Sets 240 (4)
5.1.2 Factors of Optimization 244 (1)
5.1.2.1 Color Gamut Volume 244 (1)
5.1.2.2 Quantization Efficiency 244 (1)
5.1.2.3 Number of Color Primaries 245 (1)
5.1.2.4 White Point 245 (1)
5.1.2.5 Technological Constraints 246 (1)
5.1.2.6 P/W Ratio 247 (2)
5.1.2.7 Roundness 249 (1)
5.1.2.8 RGB Tone Scales and Display 250 (1)
Black Point
5.2 Large-Gamut Primary Colors and Their 250 (7)
Gamut in Color Appearance Space
5.2.1 Optimum Color Primaries 251 (1)
5.2.2 Optimum Color Gamuts in Color 252 (5)
Appearance Space
5.3 Optimization Principles of Subpixel 257 (5)
Architectures for Multi-Primary Color
Displays
5.3.1 The Color Fringe Artifact 258 (1)
5.3.2 Optimization Principles 259 (1)
5.3.2.1 Minimum Color Fringe Artifact 259 (1)
5.3.2.2 Modulation Transfer Function 260 (1)
5.3.2.3 Isotropy 260 (1)
5.3.2.4 Luminance Resolution 261 (1)
5.3.2.5 High Aperture Ratio 261 (1)
5.4 Three- and Multi-Primary Subpixel 262 (11)
Architectures and Color Image Rendering
Methods
5.4.1 Three-Primary Architectures 262 (2)
5.4.2 Multi-Primary Architectures 264 (4)
5.4.3 Color Image Rendering Methods 268 (2)
Acknowledgment 270 (1)
References 271 (2)
6 Improving the Color Quality of Indoor 273 (56)
Light Sources
6.1 Introduction to Color Rendering and 273 (3)
Color Quality
6.2 Optimization for Indoor Light Sources 276 (10)
to Provide a Visual Environment of High
Color Rendering
6.2.1 Visual Color Fidelity Experiments 276 (6)
6.2.2 Color Rendering Prediction Methods 282 (1)
6.2.2.1 Deficits of the Current Color 282 (3)
Rendering Index
6.2.2.2 Proposals to Redefine the Color 285 (1)
Rendering Index
6.3 Optimization of Indoor Light Sources 286 (7)
to Provide Color Harmony in the Visual
Environment
6.3.1 Visual Color Harmony Experiments 287 (1)
6.3.2 Szab el al.'s Mathematical Model 287 (2)
to Predict Color Harmony
6.3.3 A Computational Method to Predict 289 (4)
Color Harmony Rendering
6.4 Principal Components of Light Source 293 (11)
Color Quality
6.4.1 Factors Influencing Color Quality 293 (3)
6.4.2 Experimental Method to Assess the 296 (6)
Properties of Color Quality
6.4.3 Modeling Color Quality; 302 (1)
Four-Factor Model
6.4.4 Principal Components of Color 303 (1)
Quality for Three Indoor Light Sources
6.5 Assessment of Complex Indoor Scenes 304 (14)
Under Different Light Sources
6.5.1 Psychological Relationship 305 (6)
between Color Difference Scales and
Color Rendering Scales
6.5.2 Brightness in Complex Indoor 311 (5)
Scenes in Association with Color Gamut,
Rendering, and Harmony: A Computational
Example
6.5.3 Whiteness Perception and Light 316 (2)
Source Chromaticity
6.6 Effect of Interobserver Variability 318 (11)
of Color Vision on the Color Quality of
Light Sources
6.6.1 Variations of Color Vision 319 (1)
Mechanisms
6.6.2 Effect of Variability on Color 320 (1)
Quality
6.6.2.1 Variability of the Visual 321 (1)
Ratings of Color Quality
6.6.2.2 Variability of Perceived Color 321 (1)
Differences and the Color Rendering
Index
6.6.2.3 Variability of Similarity 322 (2)
Ratings
6.6.3 Relevance of Variability for 324 (1)
Light Source Design
Acknowledgments 324 (1)
References 324 (5)
7 Emerging Visual Technologies 329 (34)
7.1 Emerging Display Technologies 329 (10)
7.1.1 Flexible Displays 329 (1)
7.1.2 Laser and LED Displays 330 (4)
7.1.3 Color Gamut Extension for 334 (5)
Multi-Primary Displays
7.2 Emerging Technologies for Indoor 339 (18)
Light Sources
7.2.1 Tunable LED Lamps for Accent 339 (2)
Lighting
7.2.2 Optimization for Brightness and 341 (6)
Circadian Rhythm
7.2.3 Accentuation of Different Aspects 347 (1)
of Color Quality
7.2.4 Using New Phosphor Blends 348 (6)
7.2.5 Implications of Color Constancy 354 (3)
for Light Source Design
7.3 Summary and Outlook 357 (6)
Acknowledgments 360 (1)
References 360 (3)
Index 363