Computational Colour Science Using MATLAB : A Practical Approach

[BOOK DESCRIPTION]
Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based approach to colour physics. The book focuses on the key issues encountered in modern colour engineering, including efficient representation of colour information, Fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics. These topics include colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each topic is carefully introduced at three levels to aid student understanding. First, theoretical ideas and background information are discussed, then explanations of mathematical solutions follow and finally practical solutions are presented using MATLAB. The content includes: * A compendium of equations and numerical data required by the modern colour and imaging scientist. * Numerous examples of solutions and algorithms for a wide-range of computational problems in colour science. * Example scripts using the MATLAB programming language.This 2nd edition contains substantial new and revised material, including three innovative chapters on colour imaging, psychophysical methods, and physiological colour spaces; the MATLAB toolbox has been extended with a professional, optimized, toolbox to go alongside the current teaching toolbox; and a java toolbox has been added which will interest users who are writing web applications and/or applets or mobile phone applications. Computational Colour Science Using MATLAB 2nd Edition is an invaluable resource for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area. In addition, it acts a useful reference for professionals and researchers working in colour dependent industries such as textiles, paints, print & electronic imaging. Review from First Edition: "...highly recommended as a concise introduction to the practicalities of colour science..." (Color Technology, 2004)

[TABLE OF CONTENTS]

Acknowledgements                                   ix
About the Authors                                  xi
1 Introduction                                     1  (12)
  1.1 Preface                                      1  (1)
  1.2 Why Base this Book on MATLABｮ?               2  (2)
  1.3 A Brief Review of the CIE System of          4  (9)
  Colorimetry
2 Linear Algebra for Beginners                     13 (6)
  2.1 Some Basic Definitions                       13 (1)
  2.2 Solving Systems of Simultaneous Equations    14 (2)
  2.3 Function Approximation                       16 (3)
3 A Short Introduction to MATLABｮ                  19 (8)
  3.1 Matrices                                     19 (2)
  3.2 Matrix Operations                            21 (2)
  3.3 Solving Linear Systems                       23 (2)
  3.4 M-Files                                      25 (1)
  3.5 Using Functions in MATLABｮ                   25 (2)
4 Computing CIE Tristimulus Values                 27 (22)
  4.1 Introduction                                 27 (1)
  4.2 Colour-Matching Functions                    28 (1)
  4.3 Interpolation Methods                        29 (9)
  4.4 Extrapolation Methods                        38 (1)
  4.5 Correction for Spectral Bandpass             38 (1)
  4.6 Tristimulus Values                           39 (4)
  4.7 Chromaticity Diagrams                        43 (6)
5 CIELAB and Colour Difference                     49 (26)
  5.1 Introduction                                 49 (1)
  5.2 CIELAB and CIELUV Colour Space               50 (10)
    5.2.1 A Representation of CIELAB Using         56 (4)
    MATLABｮ
  5.3 CIELAB Colour Difference                     60 (4)
  5.4 Optimised Colour-Difference Formulae         64 (11)
    5.4.1 CMC (l:c)                                64 (3)
    5.4.2 CIE 94                                   67 (1)
    5.4.3 CIEDE2000                                68 (7)
6 Chromatic-Adaptation Transforms and Colour       75 (18)
Appearance
  6.1 Introduction                                 75 (1)
  6.2 Chromatic-Adaptation Transforms (CATs)       76 (10)
    6.2.1 A Brief History of CATs                  80 (1)
    6.2.2 CMCCAT97                                 80 (3)
    6.2.3 CMCCAT2000                               83 (3)
  6.3 Colour-Appearance Models (CAMs)              86 (7)
    6.3.1 CIECAMO2                                 88 (5)
7 Physiological Colour Spaces                      93 (26)
  7.1 Introduction                                 93 (1)
  7.2 Colour Vision                                94 (2)
  7.3 Cone-Excitation Space                        96 (5)
  7.4 MacLeod and Boynton Chromaticity Diagram     101(5)
  7.5 DKL Colour Space                             106(13)
8 Colour Management                                119(12)
  8.1 The Need for Colour Management               119(3)
    8.1.1 Using MATLABｮ to Create                  121(1)
    Representations of Gamuts
  8.2 RGB Colour Spaces                            122(4)
    8.2.1 sRGB                                     123(2)
    8.2.2 Adobe RGB (1998)                         125(1)
  8.3 The International Color Consortium           126(1)
  8.4 Characterisation and Calibration             127(4)
    8.4.1 Approaches to Characterisation           128(3)
9 Display Characterisation                         131(12)
  9.1 Introduction                                 131(1)
  9.2 Gamma                                        131(1)
  9.3 The GOG Model                                132(1)
  9.4 Device-Independent Transformation            133(1)
  9.5 Characterisation Example of CRT Display      134(6)
  9.6 Beyond CRT Displays                          140(3)
10 Characterisation of Cameras                     143(16)
  10.1 Introduction                                143(1)
  10.2 Correction for Nonlinearity                 144(2)
  10.3 Correction for Lack of Spatial Uniformity   146(1)
  10.4 Characterisation                            146(3)
  10.5 Example Characterisation of a Digital       149(10)
  Camera
11 Characterisation of Printers                    159(20)
  11.1 Introduction                                159(3)
    11.1.1 Physical Models                         160(1)
    11.1.2 Neural Networks                         161(1)
  11.2 Characterisation of Half-Tone Printers      162(7)
    11.2.1 Correction for Nonlinearity             162(1)
    11.2.2 Neugebauer Models                       163(2)
    11.2.3 Example Characterisation of a           165(4)
    Half-Tone Printer
  11.3 Characterisation of Continuous-Tone         169(10)
  Printers
    11.3.1 Kubelka-Munk Models                     169(3)
    11.3.2 Interpolation of 3D Look-Up Tables      172(1)
    11.3.3 General Linear and Nonlinear            173(1)
    Transforms
    11.3.4 Example Characterisation of a           173(6)
    Half-Tone Printer
12 Multispectral Imaging                           179(18)
  12.1 Introduction                                179(1)
  12.2 Computational Colour Constancy and          180(2)
  Linear Models
    12.2.1 Example Using MATLABO                   181(1)
  12.3 Properties of Reflectance Spectra           182(7)
    12.3.1 PCA and SVD                             183(2)
    12.3.2 SVD Using MATLABｮ                       185(4)
  12.4 Application of SVD to Reflectance           189(2)
  Recovery
  12.5 Techniques for Multispectral Imaging        191(2)
    12.5.1 Maloney-Wandell Method                  191(1)
    12.5.2 Imai-Berns Method                       192(1)
    12.5.3 Shi-Healey Method                       193(1)
    12.5.4 Methods Based on Maximum Smoothness     193(1)
    12.5.5 Device Characterisation Revisited       193(1)
  12.6 Fourier Operations on Reflectance Spectra   193(4)
A Table of White Points of Illuminants used in     197(2)
r2xyz and Other Functions
B Colour Toolbox                                   199(4)
  B.1 Where to Find the Toolbox                    199(1)
  B.2 How to Install the Toolbox                   199(1)
  B.3 Summary of Toolbox Files                     199(4)
    B.3.1 Computing CIE Tristimulus Values         199(1)
    B.3.2 CIELAB and Colour Difference             200(1)
    B.3.3 Chromatic-Adaptation Transforms and      200(1)
    Colour Appearance
    B.3.4 Physiological Colour Spaces              200(1)
    B.3.5 Colour Management                        200(1)
    B.3.6 Display Characterisation                 200(1)
    B.3.7 Characterisation of Cameras              201(1)
    B.3.8 Characterisation of Printers             201(2)
References                                         203(10)
Index                                              213