Stephen Westland, Caterina Ripamonti, Vien Cheung

Computational Colour Science Using MATLAB

• Gebundenes Buch

Produktbeschreibung

This text 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, explanations of mathematical solutions then follow and finally practical solutions are presented using MATLAB.

- 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.

- Provides example scripts using the MATLAB programming language.

- Describes how to implement colour science in a way that most other texts barely touch upon.

- Four-colour throughout, with substantial new and revised material, i.e.

- Three new chapters: colour imaging, psychophysical methods, and physiological colour spaces.

- Extended MATLAB toolbox with a professional (optimized) toolbox to go alongside the current teaching toolbox.

- Additional java toolbox for users who are writing web applications and/or applets or mobile phone applications.

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 will act a useful reference for professionals and researchers working in colour-dependent industries such as textiles, paints, print & electronic imaging.

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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)

Produktdetails

• Wiley-IS&T Series in Imaging Science and Technology
• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14566569000
• 2. Aufl.
• Seitenzahl: 240
• Erscheinungstermin: 13. August 2012
• Englisch
• Abmessung: 252mm x 172mm x 18mm
• Gewicht: 577g
• ISBN-13: 9780470665695
• ISBN-10: 0470665696
• Artikelnr.: 35046641

Autorenporträt

Stephen Westland was awarded his BSc and PhD from the University of Leeds. In 1986 he joined Courtaulds Research as a Colour Physicist before returning to academia in 1990 to work at the University of Keele. He worked as a post-doctoral researcher and lecturer in the Department of Communication and Neuroscience where he taught and researched colour measurement, human colour vision, computational imaging and image processing. In 1990 he was appointed as a Reader in Colour Imaging at the Colour Imaging Institute of the University of Derby. He was appointed as Professor of Colour Science and Technology in the School of Design at the University of Leeds in 2003 where he currently teaches and researches. He has published more than 100 refereed papers in the areas of colour imaging, colour management, colour physics and colour design. He has been active in professional bodies that are concerned with colour. He is an active participant in conferences organised by the Society of Imaging Society and Technology (IS&T) and served on several organizational and technical committees. In 2008 he was awarded a Fellowship of the Society of Dyers and Colourists and the Davies Medal from the Royal Photographic Society for his research on digital colour imaging.

Inhaltsangabe

Acknowledgements About the Authors 1. Introduction 1 1.1 Preface 1 1.2 Why
Base this Book on MATLAB? 2 1.3 A Brief Review of the CIE System of
Colorimetry 4 2. Linear Algebra for Beginners 13 2.1 Some Basic Definitions
13 2.2 Solving Systems of Simultaneous Equations 14 2.3 Function
Approximation 16 3. A Short Introduction to MATLAB 19 3.1 Matrices 19 3.2
Matrix Operations 21 3.3 Solving Linear Systems 23 3.4 M-Files 25 3.5 Using
Functions in MATLAB 25 4. Computing CIE Tristimulus Values 27 4.1
Introduction 27 4.2 Colour-Matching Functions 28 4.3 Interpolation Methods
29 4.4 Extrapolation Methods 38 4.5 Correction for Spectral Bandpass 38 4.6
Tristimulus Values 39 4.7 Chromaticity Diagrams 43 5. CIELAB and Colour
Difference 49 5.1 Introduction 49 5.2 ACIELAB and CIELUV Colour Space 50
5.2.1 A Representation of CIELAB Using MATLAB 56 5.3 CIELAB Colour
Difference 60 5.4 Optimised Colour-Difference Formulae 64 5.4.1 CMC (l:c)
64 5.4.2 CIE 94 67 5.4.3 CIEDE 2000 68 6. Chromatic-Adaptation Transforms
and Colour Appearance 75 6.1 Introduction 75 6.2 Chromatic-Adaptation
Transforms (CATs) 76 6.2.1 A Brief History of CATs 80 6.2.2 CMCCAT97 80
6.2.3 CMCCAT2000 83 6.3 Colour-Appearance Models (CAMs) 86 6.3.1 CIECAM02
88 7. Physiological Colour Spaces 93 7.1 Introduction 93 7.2 Colour Vision
94 7.3 Cone-Excitation Space 96 7.4 MacLeod and Boynton Chromaticity
Diagram 101 7.5 DKL Colour Space 106 8. Colour Management 119 8.1 The Need
for Colour Management 119 8.1.1 Using MATLAB to Create Representations of
Gamuts 121 8.2 RGB Colour Spaces 122 8.2.1 sRGB 123 8.2.2 Adobe RGB (1998)
125 8.3 The International Color Consortium 126 8.4 Characterisation and
Calibration 127 8.4.1 Approaches to Characterisation 128 9. Display
Characterisation 131 9.1 Introduction 131 9.2 Gamma 131 9.3 The GOG Model
132 9.4 Device-Independent Transformation 133 9.5 Example Characterisation
of CRT Display 134 9.6 Beyond CRT Displays 140 10. Characterisation of
Cameras 143 10.1 Introduction 143 10.2 Correction for Nonlinearity 144 10.3
Correction for Lack of Spatial Uniformity 146 10.4 Characterisation 146
10.5 Example Characterisation of a Digital Camera 149 11. Characterisation
of Printers 159 11.1 Introduction 159 11.1.1 Physical Models 160 11.1.2
Neural Networks 161 11.2 Characterisation of Half-Tone Printers 162 11.2.1
Correction for Nonlinearity 162 11.2.2 Neugebauer Models 163 11.2.3 Example
Characterisation of a Half-Tone Printer 165 11.3 Characterisation of
Continuous-Tone Printers 169 11.3.1 Kubelka-Munk Models 169 11.3.2
Interpolation of 3D Look-Up Tables 172 11.3.3 General Linear and Nonlinear
Transforms 173 11.3.4 Example Characterisation of a Half-Tone Printer 173
12. Multispectral Imaging 179 12.1 Introduction 179 12.2 Computational
Colour Constancy and Linear Models 180 12.2.1 Example Using MATLAB 181 12.3
Properties of Reflectance Spectra 182 12.3.1 PCA and SVD 183 12.3.2 SVD
Using MATLAB 12.4 Application of SVD to Reflectance Recovery 189 12.5
Techniques for Multispectral Imaging 191 12.5.1 Maloney-Wandell Method 191
12.5.2 Imai-Berns Method 192 12.5.3 Shi-Healey Method 192 12.5.4 Methods
Based on Maximum Smoothness 193 12.5.5 Device Characterisation Revisited
193 12.5.6 Spectral Recovery Using Low-Dimensional Linear Models in MATLAB
193 12.6 Fourier Operations on Reflectance Spectra 193 A. Table of White
Points of Illuminants used in r2xyz and Other Functions 197 B. Colour
Toolbox 199 B.1 Where to Find the Toolbox 199 B.2 How to Install the
Toolbox 199 B.3 Summary of Toolbox Files 199 B.3.1 Computing CIE
Tristimulus Values 199 B.3.2 CIELAB and Colour Difference 200 B.3.3
Chromatic-Adaptation Transforms and Colour Appearance 200 B.3.4
Physiological Colour Spaces 200 B.3.5 Colour Management 200 B.3.6 Display
Characterisation 200 B.3.7 Characterisation of Cameras 201 B.3.8
Characterisation of Printers 201 References 203 Index 213