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    1. Data och IT
    2. Systemvetenskap och AI

    Colour Imaging

    Vision and Technology

    AvLindsay MacDonald,M. Ronnier Luo

    Inbunden, Engelska, 1999

    2 103 kr

    Tillfälligt slut

    Beskrivning

    Colour Imaging Vision and Technology Edited by Lindsay W. MacDonald and M. Ronnier Luo University of Derby, UK With every new computer now equipped with CD-ROM and high quality colour display and sound capabilities, multimedia imaging has become part of mainstream computing. Pressure is on developers to produce applications that make use of these facilities. This book examines the key enabling technologies for such applications including digital colour imaging, spanning the capture, processing, encoding, transmission and reproduction of realistic colour images.* Extensive coverage of the multimedia materials and Web pages* Improving quality of presentation* Covers a wide range of areas including colour imaging and multimedia user interface* Colour illustrationsColour Imaging will appeal to a wide-ranging audience and is primarily aimed at colour engineers, colour researchers and developers. It is also a valuable reference guide for undergraduates, MSc level students in colour imaging, new media developers and manufacturers of imaging equipment. Visit Our Web Page! http://www.wiley.com/

    Produktinformation

    • Utgivningsdatum:1999-08-31
    • Mått:184 x 253 x 32 mm
    • Vikt:964 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:440
    • Förlag:John Wiley & Sons Inc
    • ISBN:9780471985310

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Grafik och bildbehandling inom Data och IT

    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.

    Innehållsförteckning

    • COLOUR VISION. Why is Black and White so Important in Colour? (R. Hunt). Investigations into Multiscale Retinex (MSR) (K. Barnard & B. Funt). Colour Prediction Using the Von Kries Transform (W. Praefcke & F. König). Web Design for the Colour-Blind User (H. Brettel & F. Viénot). Illuminant Estimation and Colour Correction (P. Hubel, et al.). COLOUR IMAGING TECHNOLOGY. Challenges for Colour Science in Multimedia Imaging (R. Berns). A Multispectral Scanner (F. König & W. Praefcke). Multispectral Image Acquisition and Simulation of Illuminant Changes (J. Hardeberg, et al.). Color Coordinate Conversion via Neural Networks (S. Tominaga). A New Method for Characterizing Colour Printing Devices (J. Van de Capelle & B. Meireson). MULTIMEDIA COLOUR REPRODUCTION. Colour Image Engineering for Multimedia Systems (L. MacDonald). Maintaining Colour Accuracy in Images Transferred Across the Internet (D. Saunders, et al.). Specifying and Visualizing Colour Gamut Boundaries (P. Herzog). Developing Algorithms for Universal Colour Gamut Mapping (J. Morovic & M. Luo). QUALITY ASSESSMENT. Image Quality Evaluation (J. Farrell). Determination of Compressed Image Quality (A. Ford). Objective Quality Estimation for Digital Images in Multimedia Environments (N. Gerfelder & W. Müller). Towards Perceptually Optimal Colour Reproduction of Natural Scenes (S. Yendrikhovskij, et al.). Colour Science: Past, Present and Future (M. Luo). Index.