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)Content:
Chapter 1 Introduction (pages 1–11):
Chapter 2 Linear Algebra for Beginners (pages 13–18):
Chapter 3 A Short Introduction to MATLAB® (pages 19–26):
Chapter 4 Computing CIE Tristimulus Values (pages 27–47):
Chapter 5 CIELAB and Colour Difference (pages 49–74):
Chapter 6 Chromatic?Adaptation Transforms and Colour Appearance (pages 75–92):
Chapter 7 Physiological Colour Spaces (pages 93–118):
Chapter 8 Colour Management (pages 119–129):
Chapter 9 Display Characterisation (pages 131–141):
Chapter 10 Characterisation of Cameras (pages 143–157):
Chapter 11 Characterisation of Printers (pages 159–178):
Chapter 12 Multispectral Imaging (pages 179–196):