{"product_id":"colour-image-science-isbn-9780471499275","title":"Colour Image Science","description":"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.\u003cbr\u003e Colour Image Science takes an interdisciplinary approach, combining aspects of human vision with colour image capture, processing and reproduction:\u003cbr\u003e * Colour Vision - How we see and remember colours\u003cbr\u003e * Multispectral Imaging - Capturing and storing images in more than 3 channels\u003cbr\u003e * Image Processing - Correcting image colours and accessing databasess\u003cbr\u003e * Gamut Mapping - How to render colours in cross-media image reproduction\u003cbr\u003e * Image Quality - Metrics and methods for assessing images\u003cbr\u003e 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.Zusammengefasst in einem Band, herausgegeben von zwei führenden Spezialisten vom Color and Imaging Institute an der University of Derby, finden Sie hier die Proceedings der Conference of Color Imaging Science (April 2000). Neue Standards und Forschungsergebnisse werden vorgestellt. Sie erfahren, wie sich praxistaugliche und nützliche Imaging-Produkte entwickeln lassen, die die vielfältigen Anforderungen digitaler Medien erfüllen.  Preface (Lindsay MacDonald and Ronnier Luo)\u003cbr\u003e Foreword ( Ian Gatley)\u003cbr\u003e \u003cbr\u003e Section 1 -\u003cbr\u003e Colour Vision\u003cbr\u003e \u003cbr\u003e Perception of Transparency (Caterina Ripamonti \u0026amp; Stephen Westland)\u003cbr\u003e \u003cbr\u003e Investigation of Human Colour Memory (Peter Bodrogi \u0026amp; Tünde Tarczali)\u003cbr\u003e \u003cbr\u003e Perception of Colour Differences in Large Printed Images (Joan Uroz, Ján Morovic \u0026amp; Ronnier Luo)\u003cbr\u003e \u003cbr\u003e Section 2 -\u003cbr\u003e Multispectral Imaging\u003cbr\u003e \u003cbr\u003e Evaluation of Multispectral Imaging (Yoichi Miyake \u0026amp; Kimiyoshi Miyata)\u003cbr\u003e \u003cbr\u003e Spectral Colour Statistics of Surfaces (Mitch Thomson \u0026amp; Stephen Westland)\u003cbr\u003e \u003cbr\u003e A Generalised Method for Spectral Scanner Characterisation (Friedhelm König \u0026amp; Patrick Herzog)\u003cbr\u003e \u003cbr\u003e WebCam for Interactive Multispectral Measurements (Hans Brettel, Jon Yngve Hardeberg \u0026amp; Francis Schmitt)\u003cbr\u003e \u003cbr\u003e Section 3 -\u003cbr\u003e Image Processing\u003cbr\u003e \u003cbr\u003e Spotting Colours (Georgina Kwei, Kobus Barnard \u0026amp; Brian Funt)\u003cbr\u003e \u003cbr\u003e Colour Contrast in Adjacent Image Regions ( Alain Tré meau \u0026amp; Philippe Colantoni)\u003cbr\u003e \u003cbr\u003e Indexing and Retrieval in Colour Image Databases (Raimondo Schettini, Gianluigi Ciocca \u0026amp; Silvia Zuffi)\u003cbr\u003e \u003cbr\u003e A Spatial Colour Gamut Calculation to Optimise Colour Appearance (John McCann)\u003cbr\u003e \u003cbr\u003e Section 4 -\u003cbr\u003e Gamut Mapping\u003cbr\u003e \u003cbr\u003e How Different are Colour Gamuts in Cross-Media Colour Reproduction? ( Já n Morovic \u0026amp; Pei-Li Sun)\u003cbr\u003e \u003cbr\u003e Gamut Compression Algorithms based on Experimental Observer Data (Byoung-Ho Kang, Maeng-Sub Cho, Já n Morovic \u0026amp; Ronnier Luo)\u003cbr\u003e \u003cbr\u003e A Topographic Gamut Mapping Algorithm (Lindsay MacDonald, Já n Morovic \u0026amp; Kaida Xiao)\u003cbr\u003e \u003cbr\u003e Gamut Mapping for High Quality Print Reproduction (Phil Green \u0026amp; Ronnier Luo)\u003cbr\u003e \u003cbr\u003e Gamut Mapping along Curved Lines (Hendrik Büring \u0026amp; Patrick Herzog)\u003cbr\u003e \u003cbr\u003e Section 5 -\u003cbr\u003e Image Quality\u003cbr\u003e \u003cbr\u003e Modelling Colour Appearance, Spatial Vision and Image Quality (Mark Fairchild)\u003cbr\u003e \u003cbr\u003e Metric Approaches to Image Quality (Ralph Jacobson \u0026amp; Sophie Triantaphillidou)\u003cbr\u003e \u003cbr\u003e Image Quality and Colour Categorisation (Sergej Yendrikhovskij)\u003cbr\u003e \u003cbr\u003e How to Make Pictures and Please People (Robert Hunt) \"...this book is both pleasant and essential reading, and an invaluable reference source for the future.\" (Coloration Technology, Issue 3, 2003)  \u003cp\u003e\u003cstrong\u003eLindsay MacDonald\u003c\/strong\u003e is Professor of Multimedia Imaging at the Colour \u0026amp; 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 \u003cem\u003eComputer Generated Colour\u003c\/em\u003e, \u003cem\u003eDisplay Systems: Design and Applications\u003c\/em\u003e, \u003cem\u003eColour Imaging: Vision and Technology\u003c\/em\u003e and \u003cem\u003eColour Image Science: Exploiting Digital Media\u003c\/em\u003e. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eM. Ronnier Luo\u003c\/strong\u003e 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.   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.\u003cbr\u003e Colour Image Science takes an interdisciplinary approach, combining aspects of human vision with colour image capture, processing and reproduction:\u003cbr\u003e * Colour Vision - How we see and remember colours\u003cbr\u003e * Multispectral Imaging - Capturing and storing images in more than 3 channels\u003cbr\u003e * Image Processing - Correcting image colours and accessing databases\u003cbr\u003e * Gamut Mapping - How to render colours in cross-media image reproduction\u003cbr\u003e * Image Quality - Metrics and methods for assessing images\u003cbr\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988947910885,"sku":"NP9780471499275","price":209.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471499275.jpg?v=1761782167","url":"https:\/\/k12savings.com\/products\/colour-image-science-isbn-9780471499275","provider":"K12savings","version":"1.0","type":"link"}