Colour image science : exploiting digital media
著者
書誌事項
Colour image science : exploiting digital media
Wiley, c2002
大学図書館所蔵 全14件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 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.
目次
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 & Tunde Tarczali)
Perception of Colour Differences in Large Printed Images (Joan Uroz, Jan 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 Koenig & 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 Tre 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? ( Ja n Morovic & Pei-Li Sun)
Gamut Compression Algorithms based on Experimental Observer Data (Byoung-Ho Kang, Maeng-Sub Cho, Ja n Morovic & Ronnier Luo)
A Topographic Gamut Mapping Algorithm (Lindsay MacDonald, Ja n Morovic & Kaida Xiao)
Gamut Mapping for High Quality Print Reproduction (Phil Green & Ronnier Luo)
Gamut Mapping along Curved Lines (Hendrik Buring & 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)
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