LEADER 05293nam 2200793 a 450 001 9910139551203321 005 20200520144314.0 010 $a9786613655844 010 $a9781280678912 010 $a1280678917 010 $a9781118337042 010 $a1118337042 010 $a9780470710906 010 $a047071090X 010 $a9780470710890 010 $a0470710896 035 $a(CKB)2550000000103155 035 $a(EBL)923113 035 $a(SSID)ssj0000661565 035 $a(PQKBManifestationID)11955781 035 $a(PQKBTitleCode)TC0000661565 035 $a(PQKBWorkID)10711858 035 $a(PQKB)10468612 035 $a(Au-PeEL)EBL923113 035 $a(CaPaEBR)ebr10565180 035 $a(CaONFJC)MIL365584 035 $a(PPN)167569597 035 $a(CaSebORM)9781118337042 035 $a(MiAaPQ)EBC923113 035 $a(OCoLC)798700384 035 $a(Perlego)1000959 035 $a(EXLCZ)992550000000103155 100 $a20120413d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational colour science using MATLAB /$fStephen Westland, Caterina Ripamonti and Vien Cheung 205 $a2nd ed. 210 $aHoboken, N.J. $cWiley$dc2012 215 $a1 online resource (236 p.) 225 1 $aWiley-IS&T series in imaging science and technology 300 $aDescription based upon print version of record. 311 08$a9780470665695 311 08$a0470665696 320 $aIncludes bibliographical references and index. 327 $aComputational Colour Science using MATLABŪ; Contents; Acknowledgements; About the Authors; Chapter 1 Introduction; 1.1 Preface; 1.2 Why Base this Book on MATLABŪ?; 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 MATLABŪ; 3.1 Matrices; 3.2 Matrix Operations; 3.3 Solving Linear Systems; 3.4 M-Files; 3.5 Using Functions in MATLABŪ; Chapter 4 Computing CIE Tristimulus Values; 4.1 Introduction 327 $a4.2 Colour-Matching Functions4.3 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 MATLABŪ; 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 327 $a6.2.2 CMCCAT976.2.3 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 MATLABŪ 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 327 $a9.1 Introduction9.2 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 327 $a11.2.3 Example Characterisation of a Half-Tone Printer11.3 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 MATLABŪ; 12.3 Properties of Reflectance Spectra; 12.3.1 PCA and SVD; 12.3.2 SVD Using MATLABŪ; 12.4 Application of SVD to Reflectance Recovery; 12.5 Techniques for Multispectral Imaging 327 $a12.5.1 Maloney-Wandell Method 330 $a"Describes how to implement colour science in a way that most other texts barely touch upon"--$cProvided by publisher. 410 0$aWiley-IS&T series in imaging science and technology. 606 $aColorimetry 615 0$aColorimetry. 676 $a535.60285/53 686 $aSCI053000$2bisacsh 700 $aWestland$b Stephen$0977788 701 $aRipamonti$b Caterina$0977789 701 $aCheung$b Vien$f1977-$0977790 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139551203321 996 $aComputational colour science using MATLAB$92227527 997 $aUNINA