Colour Image Science

Exploiting Digital Media

Inbunden, Engelska, 2002

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Beskrivning

The scope and importance of colour image science has 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 databasess* Gamut Mapping - How to render colours in cross-media image reproduction* Image Quality - Metrics and methods for assessing imagesColour 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.

Produktinformation

Utgivningsdatum:2002-06-27
Mått:155 x 246 x 33 mm
Vikt:953 g
Format:Inbunden
Språk:Engelska
Antal sidor:480
Förlag:John Wiley & Sons Inc
ISBN:9780471499275

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Mer om författaren

Lindsay MacDonald is Professor of Multimedia Imaging at the Colour & Imaging Institute, University of Derby. For 18 years he was with Crosfield Electronics Ltd, where he designed and wrote the software for the world's first computer-based page composition system in 1977. Professor MacDonald is a Fellow of the British Computer Society, the Institution of Electrical Engineers, the Royal Photographic Society, and the Royal Society of Arts. He is co-author or co-editor of a number of books, including Computer Generated Colour, Display Systems: Design and Applications, Colour Imaging: Vision and Technology and Colour Image Science: Exploiting Digital Media. M. Ronnier Luo is a Global Expertise Professor at the College of Optical Science and Technology, Zhejiang University in China, and a Visiting Professor of Colour Science and Imaging at the University of Leeds - UK - and the National Taiwan University of Science and Technology, Chinese Taipei. He is also the CIE Vice-President of Publication. He received his PhD in 1986 at the University of Bradford in the field of colour science. He has published 600 publications in the areas of colour science, imaging science and LED illumination.

Recensioner i media

"...this book is both pleasant and essential reading, and an invaluable reference source for the future." (Coloration Technology, Issue 3, 2003)

Innehållsförteckning

Preface (Lindsay MacDonald and Ronnier Luo)Foreword ( Ian Gatley) Section 1 -Colour Vision Perception of Transparency (Caterina Ripamonti & Stephen Westland) Investigation of Human Colour Memory (Peter Bodrogi & Tünde Tarczali) Perception of Colour Differences in Large Printed Images (Joan Uroz, Ján Morovic & Ronnier Luo) Section 2 -Multispectral Imaging Evaluation of Multispectral Imaging (Yoichi Miyake & Kimiyoshi Miyata) Spectral Colour Statistics of Surfaces (Mitch Thomson & Stephen Westland) A Generalised Method for Spectral Scanner Characterisation (Friedhelm König & Patrick Herzog) WebCam for Interactive Multispectral Measurements (Hans Brettel, Jon Yngve Hardeberg & Francis Schmitt) Section 3 -Image Processing Spotting Colours (Georgina Kwei, Kobus Barnard & Brian Funt) Colour Contrast in Adjacent Image Regions ( Alain Tré meau & Philippe Colantoni) Indexing and Retrieval in Colour Image Databases (Raimondo Schettini, Gianluigi Ciocca & Silvia Zuffi) A Spatial Colour Gamut Calculation to Optimise Colour Appearance (John McCann) Section 4 -Gamut Mapping How Different are Colour Gamuts in Cross-Media Colour Reproduction? ( Já n Morovic & Pei-Li Sun) Gamut Compression Algorithms based on Experimental Observer Data (Byoung-Ho Kang, Maeng-Sub Cho, Já n Morovic & Ronnier Luo) A Topographic Gamut Mapping Algorithm (Lindsay MacDonald, Já n Morovic & Kaida Xiao) Gamut Mapping for High Quality Print Reproduction (Phil Green & Ronnier Luo) Gamut Mapping along Curved Lines (Hendrik Büring & Patrick Herzog) Section 5 -Image Quality Modelling Colour Appearance, Spatial Vision and Image Quality (Mark Fairchild) Metric Approaches to Image Quality (Ralph Jacobson & Sophie Triantaphillidou) Image Quality and Colour Categorisation (Sergej Yendrikhovskij) How to Make Pictures and Please People (Robert Hunt)