Produktbild: Computational Colour Science Using MATLAB

Computational Colour Science Using MATLAB

152,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.08.2012

Verlag

John Wiley & Sons Inc

Seitenzahl

240

Maße (L/B/H)

25,2/17,2/1,8 cm

Gewicht

604 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-470-66569-5

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.08.2012

Verlag

John Wiley & Sons Inc

Seitenzahl

240

Maße (L/B/H)

25,2/17,2/1,8 cm

Gewicht

604 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-470-66569-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Computational Colour Science Using MATLAB
  • Acknowledgements
     
    About the Authors
     
    1. Introduction 1
     
    1.1 Preface 1
     
    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 ACIELAB and CIELUV Colour Space 50
     
    5.2.1 A Representation of CIELAB Using MATLAB 56
     
    5.3 CIELAB Colour Difference 60
     
    5.4 Optimised Colour-Difference Formulae 64
     
    5.4.1 CMC (l:c) 64
     
    5.4.2 CIE 94 67
     
    5.4.3 CIEDE 2000 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 CMCCAT97 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 Chromaticity 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 Example Characterisation 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
     
    11. Characterisation of Printers 159
     
    11.1 Introduction 159
     
    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
     
    11.2.3 Example Characterisation of a Half-Tone Printer 165
     
    11.3 Characterisation of Continuous-Tone Printers 169
     
    11.3.1 Kubelka-Munk Models 169
     
    11.3.2 Interpolation of 3D Look-Up Tables 172
     
    11.3.3 General Linear and Nonlinear Transforms 173
     
    11.3.4 Example Characterisation of a Half-Tone Printer 173
     
    12. Multispectral Imaging 179
     
    12.1 Introduction 179
     
    12.2 Computational Colour Constancy and Linear Models 180
     
    12.2.1 Example Using MATLAB 181
     
    12.3 Properties of Reflectance Spectra 182