Colour Image Science: Exploiting Digital Media - Hardcover

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

Aus dem Klappentext

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.