Computational colour science using MATLAB:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Chicester
Wiley
2012
|
| Edition: | 2. ed. |
| Series: | Wiley-IS&T series in imaging science and technology
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Item Description: | "Describes how to implement colour science in a way that most other texts barely touch upon"-- Provided by publisher. Includes bibliographical references and index Erscheint: August 2012 |
| Physical Description: | XII, 222 S. |
| ISBN: | 9780470665695 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents
Acknowledgements
ix
About the Authors
xi
1.
Introduction I
1.1
Preface I
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
CIELAB and CIELUV Colour Space
50
5.2.1
A Representation of CIELAB Using
MATLAB©
56
5.3
CIELAB Colour Difference
60
vi
Contents
5.4
Optimised Colour-Difference Formulae
64
5.4.1
CMC
(/.τ)
64
5.4.2
CIE
94 67
5.4.3
CIEDE2000
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
CMCCATW
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
Chromatický
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
Characterisation Example 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
Contents
vii
11. Characterisation
of
Printers I59
11.1
Introduction j
59
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
1
1.2.3
Example Characterisation of a
Half
-Топе
Printer
165
11.3
Characterisation of Continuous-Tone Printers
169
1.3.1
Kubelka-Munk Models
169
1.3.2
Interpolation of
3D
Look-Up Tables
172
1
1.3.3
General Linear and Nonlinear Transforms
173
1
1.3.4
Example Characterisation
of a Half-Tone Printer I73
12.
Multispectral Imaging 1
79
12.1
Introduction
] 79
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®
185
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
193
12.5.4
Methods Based on Maximum Smoothness
193
12.5.5
Device Characterisation Revisited
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.I 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
viii Contents
8.
3.7 Characterisation
of Cameras
201
8.
3.8
Characterisation of Printers
201
References
203
Index
213
COMPUTAŢIONAL
COLOUR
SCIENCE
USING
MATLAB
Second Edition
Stephen
Westland
University of Leeds, UK
Caterina Ripamonti
University College London, UK
Vien
Cheung
University of Leeds, UK
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
colorimetrie
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)
VI LEY WIUEY-IS&T SERIES IN IMAGING SCIENCE AND TECHNOLOGY
Series Editor: Michael A. Kriss
Formerly of the Eastman Kodak Research Laboratories and the University of Rochester
for Imaging Science and Technology (imaging.org) is an international professional society whose
to keep members and others aware of the latest scientific and technological developments in the
greater field of imaging. A major objective of the Wiley-iS&T series is to advance this goal at the professional
-
oroad
scope of the series focuses on imaging in all its
aspeas,
with particular emphasis on digital
ting,
e
aging, ¡mage assessment and reproduction, image archiving and preservation, color
Also available
as an e-book
ISBN
978-0-470-66569-5
WILEY
wiley.com
9
780470ll665695
|
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| spelling | Westland, Stephen Verfasser aut Computational colour science using MATLAB Stephen Westland, Caterina Ripamonti and Vien Cheung 2. ed. Chicester Wiley 2012 XII, 222 S. txt rdacontent n rdamedia nc rdacarrier Wiley-IS&T series in imaging science and technology "Describes how to implement colour science in a way that most other texts barely touch upon"-- Provided by publisher. Includes bibliographical references and index Erscheint: August 2012 MATLAB Colorimetry SCIENCE / Optics bisacsh Farbmessung (DE-588)4016462-7 gnd rswk-swf MATLAB (DE-588)4329066-8 gnd rswk-swf Farbmessung (DE-588)4016462-7 s MATLAB (DE-588)4329066-8 s DE-604 Ripamonti, Caterina Verfasser aut Cheung, Vien Verfasser aut Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025156951&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025156951&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Westland, Stephen Ripamonti, Caterina Cheung, Vien Computational colour science using MATLAB MATLAB Colorimetry SCIENCE / Optics bisacsh Farbmessung (DE-588)4016462-7 gnd MATLAB (DE-588)4329066-8 gnd |
| subject_GND | (DE-588)4016462-7 (DE-588)4329066-8 |
| title | Computational colour science using MATLAB |
| title_auth | Computational colour science using MATLAB |
| title_exact_search | Computational colour science using MATLAB |
| title_full | Computational colour science using MATLAB Stephen Westland, Caterina Ripamonti and Vien Cheung |
| title_fullStr | Computational colour science using MATLAB Stephen Westland, Caterina Ripamonti and Vien Cheung |
| title_full_unstemmed | Computational colour science using MATLAB Stephen Westland, Caterina Ripamonti and Vien Cheung |
| title_short | Computational colour science using MATLAB |
| title_sort | computational colour science using matlab |
| topic | MATLAB Colorimetry SCIENCE / Optics bisacsh Farbmessung (DE-588)4016462-7 gnd MATLAB (DE-588)4329066-8 gnd |
| topic_facet | MATLAB Colorimetry SCIENCE / Optics Farbmessung |
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