Fundamentals and Applications of Colour Engineering

Herausgegeben:Green, Phil

• Gebundenes Buch

Produktbeschreibung

FUNDAMENTALS AND APPLICATIONS OF COLOUR ENGINEERING

EXPERT OVERVIEW OF THE WORLD OF COLOUR ENGINEERING IN THE 21ST CENTURY, WITH NEW, UPDATED TECHNOLOGIES AND A MATLAB TOOLBOX

Fundamentals and Applications of Colour Engineering provides important coverage on topics that hold the power to extend our knowledge of colour reproduction, such as colour measurement and appearance and the methods used, with additional discussion of the technologies responsible for reproducing colour across a wide range of devices, together with the colour management systems that are used to connect devices and exchange information.

Composed of 20 chapters, the Editor and his team of expert contributors consider the new ICC.2 architecture, an approach that introduces an evolutionary step in colour engineering, ensuring wider possibilities for technology. The text also considers the emerging applications for advanced colour management, such as processing spectral data, handling HDR images, and the capture and reproduction of material appearance.

The text is supported by a MATLAB toolbox of relevant functions and data. Fundamentals and Applications of Colour Engineering is a useful reference for anyone involved in the reproduction of colour and a strong supplementary course potential for master???s degrees with a colour science component.

Fundamentals and Applications of Colour Engineering includes information on:
_ Instruments and methods of colour measurement, colorimetry, and colour difference, and colour appearance
_ Colour spaces and colour encodings, and characterizing input devices, displays and printers
_ Colour gamut communication and imaging standards, high dynamic range imaging, and HDR
_ Sensor adjustment in colour management, open source tools for colour engineering, and colour transform evaluation

Supporting active learning with the inclusion of a toolbox of relevant functions and data, Fundamentals and Applications of Colour Engineering is an essential resource for students in relevant programs of study, and for professionals within colour engineering and reproduction looking to maximize their skill set and keep their skills updated.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Wiley Series in Display Technology
• Verlag: Wiley / Wiley & Sons
• Artikelnr. des Verlages: 1W119827180
• 1. Auflage
• Seitenzahl: 400
• Erscheinungstermin: 16. Oktober 2023
• Englisch
• Abmessung: 254mm x 207mm x 26mm
• Gewicht: 1144g
• ISBN-13: 9781119827184
• ISBN-10: 1119827183
• Artikelnr.: 66399110

Autorenporträt

PHIL GREEN is currently Professor of Colour Imaging in the Department of Computer Science at NTNU, Gjøvik, Norway, where he currently teaches cross-media colour reproduction, colour in interface design, colour appearance, advanced colour management, and colour science. Phil received his MSc from the University of Surrey, UK, and his PhD in Gamut Mapping and Colour Appearance from the Colour & Imaging Institute, University of Derby, UK. He is also Technical Secretary of the International Colour Consortium.

Inhaltsangabe

Series Editor's Foreword xvii

Preface xix

Introductory Notes xxi

1 Instruments and Methods for the Colour Measurements Required in Colour Engineering 1
Danny Rich

1.1 Introduction 1

1.2 Visual Colorimetry 3

1.3 Analogue Simulation of Visual Colorimetry 7

1.4 Digital Simulation of Visual Colorimetry 12

1.5 Selecting and Using Colorimeters and Spectrocolorimeters 15

1.6 Geometric Requirements for Colour Measurements 18

1.7 Conclusions and Expectations 22

2 Colorimetry and Colour Difference 27
Phil Green

2.1 Introduction 27

2.2 Colorimetry 27

2.3 Normalization 28

2.4 Colour Matching Functions 29

2.5 Illuminants 29

2.6 Data for Observers and Illuminants 30

2.7 Range and Interval 30

2.8 Calculation of Chromaticity 31

2.9 Calculation of CIE 1976 Uniform Colour Spaces 31

2.10 Inversion of CIELAB Equations 34

2.11 Colour Difference 34

2.12 Problems with Using UCS Colour Difference 35

2.13 Uniformity of the Components of Colour Difference 35

2.14 Viewing Conditions 36

2.15 Surface Characteristics 37

2.16 Acceptability of Colour Differences 37

2.17 Overcoming the Limitations of UCS Colour Difference with Advanced Colour Difference Metrics 37

2.18 CIE94 37

2.19 CIEDE2000 39

2.20 Progress on Colour Difference Metrics since CIEDE2000 41

2.21 3D Colour Difference 41

2.22 Colour Difference in High Luminance Conditions 41

2.23 Colour Difference Formulas Based on Colour Appearance Models 41

2.24 Limitations in the Use of Advanced Colour Difference Metrics in Colour Imaging 42

2.25 Basis Conditions 42

2.26 Colour Difference in Complex Images 43

2.27 Acceptability and Perceptibility 44

2.28 Large vs Small Differences 44

2.29 Deriving Colour Difference Tolerances 44

2.30 Sample Preparation 45

2.31 Psychophysical Experiments 45

2.32 Colour Difference Judgements by Observers with a Colour Vision Deficiency 46

2.33 Calculating Colour Tolerances from Experimental Data 46

2.34 Calculation of Discrimination Ellipsoids and Tolerance Distributions 46

2.34.1 Calculation of Parametric Constants in Weightings Functions 47

2.35 Calculation of Acceptability Thresholds 48

2.36 Evaluating Colour Difference Metrics 48

2.37 Conclusion 48

3 Fundamentals of Device Characterization 53
Phil Green

3.1 Introduction 53

3.2 Characterization Methods 54

3.3 Numerical Models 57

3.4 Look-Up Tables with Interpolation 63

3.5 Evaluating Accuracy -- Training and Test Data 67

4 Characterization of Input Devices 71
Phil Green

4.1 Input Channels 71

4.2 Characterization Goals 72

4.3 Transform Encoding 73

4.4 Dynamic Range 73

4.5 Input Characterization Methods 74

4.5.1 Scanners 74

4.6 Targets 74

4.7 Modelling 74

4.7.1 Digital Cameras 75

4.8 Target-Based Characterization 75

4.9 Targets 75

4.10 Modelling 76

5 Color Processing for Digital Cameras 81
Michael S. Brown

5.1 Introduction 81

5.2 Basics of a Camera Sensor 82

5.3 The Camera Pipeline 83

5.4 Multi-Frame Processing 93

5.5 Towards the Neural ISP 94

5.6 Concluding Remarks 95

6 Display Calibration 99
Catherine Meininger, Tom Lianza, and Grace Anne