Presenting a practical, problem-based approach to colour physics, this title describes 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, such as colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction.
Each topic is carefully introduced at three levels to enhance student understanding. Firstly, 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.
This text is a must-have for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area.
Author(s): Professor Stephen Westland, Caterina Ripamonti
Edition: 1
Publisher: Wiley
Year: 2004
Language: English
Pages: 207
Tags: Библиотека;Компьютерная литература;Matlab / Simulink;
TeamLiB......Page 0
Cover......Page 1
Contents......Page 8
Acknowledgements......Page 12
1.1 Who this book is for......Page 14
1.2 Why base this book upon MATLAB?......Page 15
1.3 A brief review of the CIE system of colorimetry......Page 17
2.1 Some basic de . nitions......Page 26
2.2 Solving systems of simultaneous equations......Page 27
2.4 Linear and non- linear transforms......Page 29
3.A Short Introduction to MATLAB......Page 32
3.1 Matrix operations......Page 33
3.2 Computing the transpose and inverse of matrices......Page 35
3.4 Using functions in MATLAB......Page 38
4.2 Standard colour- matching functions......Page 40
4.3 Interpolation methods......Page 42
4.4 Extrapolation methods......Page 46
4.5 Tables of weights......Page 47
4.7 Chromaticity diagrams......Page 48
4.8.1 Spectral bandpass correction......Page 50
4.8.2 Reflectance interpolation......Page 52
4.8.3 Computing tristimulus values......Page 54
4.8.4 Plotting the spectral locus......Page 58
5.1 Introduction......Page 62
5.2 CIELAB and CIELUV colour space......Page 63
5.3 CIELAB colour di . erence......Page 65
5.4.1 CMC( l: c)......Page 68
5.4.2 CIE94......Page 69
5.4.3 CIEDE2000......Page 70
5.5.1 Computing CIELAB and CIELUV coordinates......Page 71
5.5.2 Computing colour difference......Page 81
6.1 Introduction......Page 94
6.2 CATs......Page 95
6.2.1 CIECAT94......Page 99
6.2.2 CMCCAT97......Page 102
6.2.3 CMCCAT2000......Page 103
6.3 CAMs......Page 105
6.3.1 CIECAM97s......Page 106
6.4.1 CATs......Page 109
6.4.2 Computing colour appearance......Page 117
7.1 Introduction......Page 124
7.3 The GOG model......Page 125
7.4 Device- independent transformation......Page 127
7.5 Typical characterization procedure......Page 128
7.6 Implementations and examples......Page 129
8.1 Introduction......Page 140
8.2 Correction for non- linearity......Page 141
8.3 Device- independent representation......Page 142
8.4 Implementations and examples......Page 143
9.1 Introduction......Page 154
9.2 Physical models......Page 155
9.3 Neural networks......Page 156
9.4.1 Correction for non- linearity......Page 158
9.4.2 Device- independent representation......Page 159
9.4.3 The Kubelka ¨C Munk model......Page 160
9.5.1 Half- tone printer......Page 163
9.5.2 Continuous- tone printer......Page 168
10.1 Introduction......Page 176
10.2 Computational colour constancy and linear models......Page 177
10.3 Surface and illuminant estimation algorithms......Page 183
10.4.1 The Hardeberg method......Page 184
10.5.1 Deriving a set of basis functions......Page 185
10.5.2 Representation of reflectance spectra in a linear model......Page 189
10.5.3 Estimation of reflectance spectra from tristimulus values......Page 192
10.5.4 Estimation of reflectance spectra from camera responses......Page 196
10.5.5 Fourier operations on reflectance spectra......Page 198
11.2 pinterp. m ( Box 2)......Page 202
11.6 lab2xyz. m ( Box 6)......Page 203
11.10 cielabde. m ( Box 10)......Page 204
11.13 cie94de. m ( Box 13)......Page 205
11.16 cmccat00. m ( Box 16)......Page 206
11.18 gogtest. m ( Box 18)......Page 207
11.22 compigog ( Box 22)......Page 208
11.25 gettrc ( Box 25)......Page 209
11.26 r2xyz ( Box 26)......Page 210
References......Page 212
Index......Page 218
