Cover -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Chapter 1. Colorimetry and Physiology - The LMS Specification -- 1.1. Physiological basis -- 1.1.1. The photoreceptors -- 1.1.2. Retinal organization -- 1.1.3. Physiological modeling of visual attributes related to color -- 1.2. The XYZ colorimetry: the benchmark model of CIE -- 1.3. LMS colorimetry -- 1.3.1. LMS fundamentals -- 1.3.2. Application of LMS colorimetry -- 1.3.3. Color discrimination -- 1.4. Colors in their context -- 1.4.1. CIECAM02 -- 1.4.2. Chromatic adaptation -- 1.4.3. Partitioning of the perceptual space by the elementary hues -- 1.5. Conclusion -- 1.6. Bibliography -- Chapter 2. Color Constancy -- 2.1. Introduction -- 2.2. Theoretical preliminaries and problems -- 2.2.1. Concept of illuminant -- 2.2.2. Concept of objects' reflectance -- 2.2.3. Problem of color constancy -- 2.3. Color constancy models -- 2.3.1. Model of the human visual system -- 2.3.2. Von Kries diagonal model -- 2.3.3. Land theory -- 2.4. Color correction algorithms -- 2.4.1. Gray world -- 2.4.2. Retinex theory -- 2.4.3. Gamut conversion -- 2.4.4. Probabilistic methods -- 2.4.5. Method based on neural networks -- 2.4.6. ACE: automatic color equalization -- 2.4.7. Methods combining several approaches -- 2.5. Comparison of color constancy algorithms -- 2.5.1. Algorithms evaluation -- 2.5.2. Examples of applications with specific patterns -- 2.6. Conclusion -- 2.7. Bibliography -- Chapter 3. Color Appearance Models -- 3.1. Introduction -- 3.2. The two perceptual phenomena of color appearance -- 3.3. The main components of a CAM -- 3.3.1. Chromatic adaptation models -- 3.3.2. The perceptual attributes -- 3.3.3. General architecture of CAMs standardized by the CIE -- 3.4. The CIECAM02 -- 3.4.1. Input data -- 3.4.2. The chromatic adaptation transform -- 3.4.3. The appearance attributes.

3.5. Conclusion -- 3.6. Bibliography -- Chapter 4. Rendering and Computer Graphics -- 4.1. Introduction -- 4.2. Reflection and representation models of light sources -- 4.2.1. Concept of luminance -- 4.2.2. Representation of the light sources -- 4.2.3. Reflection and refraction models -- 4.3. Simulation of light propagation -- 4.3.1. Light propagation model: the rendering equation -- 4.3.2. Solution of the rendering equation -- 4.4. Display of results -- 4.4.1. LDR and HDR Images -- 4.4.2. Tone mapping -- 4.4.3. Management of spectral aspects -- 4.4.4. Computer graphics and perception -- 4.5. Conclusion -- 4.6. Bibliography -- Chapter 5. Image Sensor Technology -- 5.1. Photodetection principle -- 5.1.1. The photodiode -- 5.1.2. The photoMOS -- 5.2. Imagers -- 5.2.1. CMOS and CCD technologies -- 5.2.2. CCD (charge coupled device) imager principle -- 5.2.3. CMOS imagers principle -- 5.2.4. Photodiode pixel in current mode -- 5.2.5. Photodiode pixel in integration mode -- 5.3. Spectral sensitivity of imagers -- 5.4. Color acquisition systems -- 5.5. Through monochrome camera -- 5.6. Tri-sensor systems -- 5.7. Color camera based on color filter arrays -- 5.7.1. Types of filters -- 5.8. Variants of integrated sensors -- 5.8.1. Backside illumination: Sony, Omnivision -- 5.8.2. BDJ or buried double junction -- 5.9. Conclusion -- 5.10. Bibliography -- Chapter 6. From the Sensor to Color Images -- 6.1. Introduction -- 6.2. Presentation and formalization of demosaicing -- 6.2.1. Need for demosaicing -- 6.2.2. Formalization -- 6.2.3. Implemented principles -- 6.3. Demosaicing methods -- 6.3.1. Methods based on a spatial analysis -- 6.3.2. Methods based on a frequency analysis -- 6.3.3. Other methods and post-processing -- 6.4. Quality of the estimated image -- 6.4.1. Fidelity criteria of the estimated image -- 6.4.2. Fidelity results and discussion.

6.5. Color camera calibration -- 6.6. Conclusion -- 6.7. Bibliography -- Chapter 7. Color and Image Compression -- 7.1. Introduction -- 7.2. Fundamentals of image compression -- 7.2.1. Introduction -- 7.2.2. Color transformation -- 7.2.3. Color sampling formats -- 7.2.4. Redundancy analysis -- 7.2.5. Quantization -- 7.2.6. Distortion metric -- 7.2.7. Conclusion -- 7.3. Compression standards and color -- 7.3.1. Introduction -- 7.3.2. Still image compression standards -- 7.3.3. Video compression standards -- 7.3.4. New trends in compression -- 7.3.5. Conclusion -- 7.4. Color image compression -- 7.4.1. Introduction -- 7.4.2. Statistical compression -- 7.4.3. Perception-based compression -- 7.4.4. Conclusion -- 7.5. General conclusion -- 7.6. Bibliography -- Chapter 8. Protection of Color Images -- 8.1. Introduction -- 8.2. Protection and security of digital data -- 8.2.1. Secure transmission and archiving -- 8.2.2. Different types of protection -- 8.2.3. Encryption algorithms -- 8.3. Color image watermarking -- 8.3.1. Watermarking principle of color image -- 8.3.2. Choice of insertion color spaces -- 8.3.3. Fidelity of color image watermarking methods -- 8.3.4. Protection of color palettes -- 8.4. Protection of color images by selective encryption (SE) -- 8.4.1. SE of color images -- 8.4.2. Analysis of an encryption jointly with a JPEG compression -- 8.4.3. SE of regions of interest in color images -- 8.5. Conclusion -- 8.6. Bibliography -- Chapter 9. Quality Assessment Approaches -- 9.1. Introduction -- 9.1.1. What is quality? -- 9.1.2. Quality vs. fidelity -- 9.1.3. Strong link with the compression -- 9.2. Color fidelity metric -- 9.2.1. ΔE94, ΔE2000 -- 9.2.2. s-CIELAB -- 9.3. Subjective assessment of the quality -- 9.3.1. Experimental plans -- 9.3.2. Measurement scales -- 9.3.3. Psychophysical experiments -- 9.3.4. Subjective assessment methods.

9.3.5. Processing of the results -- 9.4. Objective evaluation of quality -- 9.4.1. Full reference metrics -- 9.4.2. Reduced-reference metrics -- 9.4.3. No-reference metrics -- 9.4.4. Application to video -- 9.5. Performance evaluation of the metrics -- 9.5.1. Test plans of the VQEG group -- 9.5.2. Data preparation -- 9.5.3. Accuracy of the prediction -- 9.5.4. Monotonicity of the prediction -- 9.5.5. Consistency of the prediction -- 9.6. Conclusion -- 9.7. Bibliography -- List of Authors -- Index.