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Computational Colour Science using MATLAB
 
 
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Computational Colour Science using MATLAB [Hardcover]

Stephen Westland (Author), Caterina Ripamonti (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0470845627 978-0470845622 May 3, 2004 1
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.

 


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Editorial Reviews

Review

"...a practical, problem-based approach...each main topic in the book is presented in a structured way..." (World Surface Coatings Abstracts, April 2004)

“…highly recommended as a concise introduction to the practicalities of colour science…” (Color Technology, No.120 2004)

From the Back Cover

Computational Colour Science using MATLAB 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 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.

    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. This book will also be a useful reference for professionals and researchers working in related industries.


Product Details

  • Hardcover: 220 pages
  • Publisher: Wiley; 1 edition (May 3, 2004)
  • Language: English
  • ISBN-10: 0470845627
  • ISBN-13: 978-0470845622
  • Product Dimensions: 6.8 x 0.8 x 9.7 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,147,759 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:
4.0 out of 5 stars Better to buy a book on color science and learn MATLAB?, May 29, 2008
This review is from: Computational Colour Science using MATLAB (Hardcover)
I think this book appeals to people who don't want to or have time to code in MATLAB. It does not have in depth information on color science, so you will want to buy a separate book. Once you have done that, you can just as easily write your own code; the code involved in color science is not that complex. The value in borrowing code is if it is concise and fast (not saying theirs isn't), or if it saves you effort. Since my background was lacking, I ended up reading Schanda's Colorimetry and cranking out my own code to complement MATLAB's Image Processing Toolbox.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
command window, elseif strcmp, colour toolbox, computing tristimulus values, normalized tristimulus values, test illuminant, optical dot gain, dac values, grey samples, achromatic background, tristimulus space, proximal field, format for this function, neutral patches, diagonal transform, spectral reflectance values, backslash operator, reference illuminant, spectral reflectance factors, spectral locus, cone excitations, reflectance spectrophotometers, colour specification, reflectance data, colour stimuli
Key Phrases - Capitalized Phrases (CAPs): (learn more)
John Wiley, The Kubelka-Munk, Wavelength Figure, Computational Colour Science Using
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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