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TABLE OF CONTENTS
Colour plates
Foreword
Contributors
Preface
Pt. 1 Colour vision
1 Perception of transparency 3
2 Investigation of colour memory 23
3 Perception of colour differences in large printed images 49
Pt. 2 Multispectral imaging
4 Evaluation of multispectral imaging 77
5 Spectral colour statistics of surfaces 99
6 A generalised method for spectral scanner characterisation 115
7 Webcam for interactive multispectral measurements 133
Pt. 3 Image processing
8 Spotting colours 153
9 Colour contrast in adjacent image regions 163
10 Indexing and retrieval in colour image databases 183
11 A spatial colour gamut calculation to optimise colour appearance 213
Pt. 4 Gamut mapping
12 How different are colour gamuts in cross-media colour reproduction? 237
13 Gamut compression algorithms based on experimental observer data 259
14 A topographic gamut mapping algorithm 291
15 Gamut mapping for high quality print reproduction 319
16 Gamut mapping along curved lines 343
Pt. 5 Image quality
17 Modelling colour appearance, spatial vision, and image quality 357
18 Metric approaches to image quality 371
19 Image quality and colour categorisation 393
20 How to make pictures and please people 421
Index 439

The scope and importance of colour image science have grown rapidly in recent years. In parallel with the proliferation of consumer imaging products, the capabilities of colour displays, printers and digital cameras increase. New challenges for colour image science are emerging as cross-media image reproduction is applied in Internet and multimedia displays, motion pictures, digital television and augmented-reality systems.
Colour Image Science takes an interdisciplinary approach, combining aspects of human vision with colour image capture, processing and reproduction:


Colour Vision - How we see and remember colours
Multispectral Imaging - Capturing and storing images in more than 3 channels
Image Processing - Correcting image colours and accessing databases
Gamut Mapping - How to render colours in cross-media image reproduction
Image Quality - Metrics and methods for assessing images

Colour Image Science will appeal to a wide readership, including scientists and engineers involved in the research and development of colour imaging products. It will also be a valuable reference text for post-graduate students in computer science, digital imaging and multimedia programmes.

--- FROM THE PUBLISHER