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.
Contents
1 Color Vision and Self-Luminous Visual Technologies
- 1.1 Color Vision Features and the Optimization of Modern Self-Luminous Visual Technologies
- 1.2 Color Vision-Related Technological Features of Modern Self-Luminous (Nonprinting) Visual Technologies
- 1.3 Perceptual, Cognitive, and Emotional Features of the Visual System and the Corresponding Technological Challenge
2 Colorimetric and Color Appearance-Based Characterization of Displays
- 2.1 Characterization Models and Visual Artifacts in General
- 2.2 Characterization Models and Visual Artifacts of the Different Display Technologies
- 2.3 Display Light Source Technologies
- 2.4 Color Appearance of Large Viewing Angle Displays
3 Ergonomic, Memory-Based, and Preference-Based Enhancement of Color Displays
- 3.1 Ergonomic Guidelines for Displays
- 3.2 Objectives of Color Image Reproduction
- 3.3 Ergonomic Design of Color Displays: Optimal Use of Chromaticity Contrast
- 3.4 Long-Term Memory Colors, Intercultural Differences, and Their Use to Evaluate and Improve Color Image Quality 1
- 3.5 Color Image Preference for White Point, Local Contrast, Global Contrast, Hue, and Chroma
- 3.6 Age-Dependent Method for Preference-Based Color Image Enhancement with Color Image Descriptors
4 Color Management and Image Quality Improvement for Cinema Film and TV Production
- 4.1 Workflow in Cinema Film and TV Production Today – Components and Systems
- 4.2 Components of the Cinema Production Chain
- 4.3 Color Gamut Differences
- 4.4 Exploiting the Spatial–Temporal Characteristics of Color Vision for Digital TV, Cinema, and Camera Development
- 4.5 Optimum Spectral Power Distributions for Cinematographic Light Sources and Their Color Rendering Properties
- 4.6 Visually Evoked Emotions in Color Motion Pictures
5 Pixel Architectures for Displays of Three- and Multi-Color Primaries
- 5.1 Optimization Principles for Three- and Multi-Primary Color Displays to Obtain a Large Color Gamut
- 5.2 Large-Gamut Primary Colors and Their Gamut in Color Appearance Space
- 5.3 Optimization Principles of Subpixel Architectures for Multi-Primary Color Displays
- 5.4 Three- and Multi-Primary Subpixel Architectures and Color Image Rendering Methods
6 Improving the Color Quality of Indoor Light Sources
- 6.1 Introduction to Color Rendering and Color Quality
- 6.2 Optimization for Indoor Light Sources to Provide a Visual Environment of High Color Rendering
- 6.3 Optimization of Indoor Light Sources to Provide Color Harmony in the Visual Environment
- 6.4 Principal Components of Light Source Color Quality
- 6.5 Assessment of Complex Indoor Scenes Under Different Light Sources
- 6.6 Effect of Interobserver Variability of Color Vision on the Color Quality of Light Sources
7 Emerging Visual Technologies
- 7.1 Emerging Display Technologies
- 7.2 Emerging Technologies for Indoor Light Sources
- 7.3 Summary and Outlook
- Acknowledgments
- References
- Index
About the Authors
- Dr. Peter Bodrogi is a senior research fellow at the Laboratory of Lighting Technology of the Technische Universität Darmstadt in Darmstadt, Germany. He graduated in Physics from the Loránd Eötvös University of Budapest, Hungary. He obtained his PhD degree in Information Technology from the University of Pannonia in Hungary. He has co-authored numerous scientific publications and invented patents about colour vision and self-luminant display technology. He has received several scientific awards including a Research Fellowship of the Alexander von Humboldt Foundation, Germany, and the Walsh-Weston Award, Great Britain. He has been member of several Technical Committees of the International Commission of Illumination (CIE).
- Prof. Tran Quoc Khanh is University Professor and Head of the Laboratory of Lighting Technology at the Technische Universität Darmstadt in Darmstadt, Germany. He graduated in Optical Technologies, obtained his PhD degree in Lighting Engineering, and his degree of lecture qualification (habilitation) for his thesis in Colorimetry and Colour Image Processing from the Technische Universität Ilmenau, Germany. He has gathered industrial experience as a project manager by ARRI CineTechnik in München, Germany. He has been the organizer of the well-known series of international symposia for automotive lighting (ISAL) in Darmstadt, Germany, and is a member of several Technical Committees of the International Commission of Illumination (CIE).
Book Details
- Hardcover: 395 pages
- Publisher: Wiley-VCH; 1 edition (© 2012)
- Language: English
- ISBN-10: 3527410406
- ISBN-13: 978-3527410408
- Product Dimensions: 6.8 x 1 x 9.6 inches
- List Price: $135.00