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Computational Colour Science Using MATLAB.

By: Contributor(s): Series: The Wiley-IS&T Series in Imaging Science and Technology SerPublisher: New York : John Wiley & Sons, Incorporated, 2012Copyright date: ©2012Edition: 2nd edDescription: 1 online resource (236 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780470710906
Subject(s): Genre/Form: Additional physical formats: Print version:: Computational Colour Science Using MATLABDDC classification:
  • 535.60287
LOC classification:
  • QC495.8 -- .W47 2012eb
Online resources:
Contents:
Intro -- Computational Colour Science using MATLAB® -- Contents -- Acknowledgements -- About the Authors -- Chapter 1 Introduction -- 1.1 Preface -- 1.2 Why Base this Book on MATLAB®? -- 1.3 A Brief Review of the CIE System of Colorimetry -- Chapter 2 Linear Algebra for Beginners -- 2.1 Some Basic Definitions -- 2.2 Solving Systems of Simultaneous Equations -- 2.3 Function Approximation -- Chapter 3 A Short Introduction to MATLAB® -- 3.1 Matrices -- 3.2 Matrix Operations -- 3.3 Solving Linear Systems -- 3.4 M-Files -- 3.5 Using Functions in MATLAB® -- Chapter 4 Computing CIE Tristimulus Values -- 4.1 Introduction -- 4.2 Colour-Matching Functions -- 4.3 Interpolation Methods -- 4.4 Extrapolation Methods -- 4.5 Correction for Spectral Bandpass -- 4.6 Tristimulus Values -- 4.7 Chromaticity Diagrams -- Chapter 5 CIELAB and Colour Difference -- 5.1 Introduction -- 5.2 CIELAB and CIELUV Colour Space -- 5.2.1 A Representation of CIELAB Using MATLAB® -- 5.3 CIELAB Colour Difference -- 5.4 Optimised Colour-Difference Formulae -- 5.4.1 CMC (l:c) -- 5.4.2 CIE 94 -- 5.4.3 CIEDE2000 -- Chapter 6 Chromatic-Adaptation Transforms and Colour Appearance -- 6.1 Introduction -- 6.2 Chromatic-Adaptation Transforms (CATs) -- 6.2.1 A Brief History of CATs -- 6.2.2 CMCCAT97 -- 6.2.3 CMCCAT2000 -- 6.3 Colour-Appearance Models (CAMs) -- 6.3.1 CIECAM02 -- Chapter 7 Physiological Colour Spaces -- 7.1 Introduction -- 7.2 Colour Vision -- 7.3 Cone-Excitation Space -- 7.4 MacLeod and Boynton Chromaticity Diagram -- 7.5 DKL Colour Space -- Chapter 8 Colour Management -- 8.1 The Need for Colour Management -- 8.1.1 Using MATLAB® to Create Representations of Gamuts -- 8.2 RGB Colour Spaces -- 8.2.1 sRGB -- 8.2.2 Adobe RGB (1998) -- 8.3 The International Color Consortium -- 8.4 Characterisation and Calibration -- 8.4.1 Approaches to Characterisation.
Chapter 9 Display Characterisation -- 9.1 Introduction -- 9.2 Gamma -- 9.3 The GOG Model -- 9.4 Device-Independent Transformation -- 9.5 Characterisation Example of CRT Display -- 9.6 Beyond CRT Displays -- Chapter 10 Characterisation of Cameras -- 10.1 Introduction -- 10.2 Correction for Nonlinearity -- 10.3 Correction for Lack of Spatial Uniformity -- 10.4 Characterisation -- 10.5 Example Characterisation of a Digital Camera -- Chapter 11 Characterisation of Printers -- 11.1 Introduction -- 11.1.1 Physical Models -- 11.1.2 Neural Networks -- 11.2 Characterisation of Half-Tone Printers -- 11.2.1 Correction for Nonlinearity -- 11.2.2 Neugebauer Models -- 11.2.3 Example Characterisation of a Half-Tone Printer -- 11.3 Characterisation of Continuous-Tone Printers -- 11.3.1 Kubelka-Munk Models -- 11.3.2 Interpolation of 3D Look-Up Tables -- 11.3.3 General Linear and Nonlinear Transforms -- 11.3.4 Example Characterisation of a Half-Tone Printer -- Chapter 12 Multispectral Imaging -- 12.1 Introduction -- 12.2 Computational Colour Constancy and Linear Models -- 12.2.1 Example Using MATLAB® -- 12.3 Properties of Reflectance Spectra -- 12.3.1 PCA and SVD -- 12.3.2 SVD Using MATLAB® -- 12.4 Application of SVD to Reflectance Recovery -- 12.5 Techniques for Multispectral Imaging -- 12.5.1 Maloney-Wandell Method -- 12.5.2 Imai-Berns Method -- 12.5.3 Shi-Healey Method -- 12.5.4 Methods Based on Maximum Smoothness -- 12.5.5 Device Characterisation Revisited -- 12.6 Fourier Operations on Reflectance Spectra -- Appendix A Table of White Points of Illuminants used in r2xyz and Other Functions -- Appendix B Colour Toolbox -- B.1 Where to Find the Toolbox -- B.2 How to Install the Toolbox -- B.3 Summary of Toolbox Files -- B.3.1 Computing CIE Tristimulus Values -- B.3.2 CIELAB and Colour Difference -- B.3.3 Chromatic-Adaptation Transforms and Colour Appearance.
B.3.4 Physiological Colour Spaces -- B.3.5 Colour Management -- B.3.6 Display Characterisation -- B.3.7 Characterisation of Cameras -- B.3.8 Characterisation of Printers -- References -- Index.
Summary: 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 researchersSummary: 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).
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Intro -- Computational Colour Science using MATLAB® -- Contents -- Acknowledgements -- About the Authors -- Chapter 1 Introduction -- 1.1 Preface -- 1.2 Why Base this Book on MATLAB®? -- 1.3 A Brief Review of the CIE System of Colorimetry -- Chapter 2 Linear Algebra for Beginners -- 2.1 Some Basic Definitions -- 2.2 Solving Systems of Simultaneous Equations -- 2.3 Function Approximation -- Chapter 3 A Short Introduction to MATLAB® -- 3.1 Matrices -- 3.2 Matrix Operations -- 3.3 Solving Linear Systems -- 3.4 M-Files -- 3.5 Using Functions in MATLAB® -- Chapter 4 Computing CIE Tristimulus Values -- 4.1 Introduction -- 4.2 Colour-Matching Functions -- 4.3 Interpolation Methods -- 4.4 Extrapolation Methods -- 4.5 Correction for Spectral Bandpass -- 4.6 Tristimulus Values -- 4.7 Chromaticity Diagrams -- Chapter 5 CIELAB and Colour Difference -- 5.1 Introduction -- 5.2 CIELAB and CIELUV Colour Space -- 5.2.1 A Representation of CIELAB Using MATLAB® -- 5.3 CIELAB Colour Difference -- 5.4 Optimised Colour-Difference Formulae -- 5.4.1 CMC (l:c) -- 5.4.2 CIE 94 -- 5.4.3 CIEDE2000 -- Chapter 6 Chromatic-Adaptation Transforms and Colour Appearance -- 6.1 Introduction -- 6.2 Chromatic-Adaptation Transforms (CATs) -- 6.2.1 A Brief History of CATs -- 6.2.2 CMCCAT97 -- 6.2.3 CMCCAT2000 -- 6.3 Colour-Appearance Models (CAMs) -- 6.3.1 CIECAM02 -- Chapter 7 Physiological Colour Spaces -- 7.1 Introduction -- 7.2 Colour Vision -- 7.3 Cone-Excitation Space -- 7.4 MacLeod and Boynton Chromaticity Diagram -- 7.5 DKL Colour Space -- Chapter 8 Colour Management -- 8.1 The Need for Colour Management -- 8.1.1 Using MATLAB® to Create Representations of Gamuts -- 8.2 RGB Colour Spaces -- 8.2.1 sRGB -- 8.2.2 Adobe RGB (1998) -- 8.3 The International Color Consortium -- 8.4 Characterisation and Calibration -- 8.4.1 Approaches to Characterisation.

Chapter 9 Display Characterisation -- 9.1 Introduction -- 9.2 Gamma -- 9.3 The GOG Model -- 9.4 Device-Independent Transformation -- 9.5 Characterisation Example of CRT Display -- 9.6 Beyond CRT Displays -- Chapter 10 Characterisation of Cameras -- 10.1 Introduction -- 10.2 Correction for Nonlinearity -- 10.3 Correction for Lack of Spatial Uniformity -- 10.4 Characterisation -- 10.5 Example Characterisation of a Digital Camera -- Chapter 11 Characterisation of Printers -- 11.1 Introduction -- 11.1.1 Physical Models -- 11.1.2 Neural Networks -- 11.2 Characterisation of Half-Tone Printers -- 11.2.1 Correction for Nonlinearity -- 11.2.2 Neugebauer Models -- 11.2.3 Example Characterisation of a Half-Tone Printer -- 11.3 Characterisation of Continuous-Tone Printers -- 11.3.1 Kubelka-Munk Models -- 11.3.2 Interpolation of 3D Look-Up Tables -- 11.3.3 General Linear and Nonlinear Transforms -- 11.3.4 Example Characterisation of a Half-Tone Printer -- Chapter 12 Multispectral Imaging -- 12.1 Introduction -- 12.2 Computational Colour Constancy and Linear Models -- 12.2.1 Example Using MATLAB® -- 12.3 Properties of Reflectance Spectra -- 12.3.1 PCA and SVD -- 12.3.2 SVD Using MATLAB® -- 12.4 Application of SVD to Reflectance Recovery -- 12.5 Techniques for Multispectral Imaging -- 12.5.1 Maloney-Wandell Method -- 12.5.2 Imai-Berns Method -- 12.5.3 Shi-Healey Method -- 12.5.4 Methods Based on Maximum Smoothness -- 12.5.5 Device Characterisation Revisited -- 12.6 Fourier Operations on Reflectance Spectra -- Appendix A Table of White Points of Illuminants used in r2xyz and Other Functions -- Appendix B Colour Toolbox -- B.1 Where to Find the Toolbox -- B.2 How to Install the Toolbox -- B.3 Summary of Toolbox Files -- B.3.1 Computing CIE Tristimulus Values -- B.3.2 CIELAB and Colour Difference -- B.3.3 Chromatic-Adaptation Transforms and Colour Appearance.

B.3.4 Physiological Colour Spaces -- B.3.5 Colour Management -- B.3.6 Display Characterisation -- B.3.7 Characterisation of Cameras -- B.3.8 Characterisation of Printers -- References -- Index.

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).

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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