Colour Image Science: Exploiting Digital Media

Lindsay MacDonald, M. Ronnier Luo

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商品描述

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.

Table of Contents

Colour Plates.

Foreword.

Contributors.

Preface.

PART I: COLOUR VISION.

Perception of Transparency (Caterina Ripamonti & Stephen Westland).

Investigation of Colour Memory (Peter Bodrogi & Tnde Tarczali).

Perception of Colour Differences in Large Printed Images (Joan Uroz, Ronnier Luo and J嫕 Morovic ).

PART II: 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 K霵ig & Patrick Herzog).

Webcam for Interactive Multispectral Measurements (Hans Brettel, Jon Yngve Hardeberg & Francis Schmitt).

PART III: IMAGE PROCESSING.

Spotting Colours (Georgina Kwei, Kobus Barnard & Brian Funt).

Colour Contrast in Adjacent Image Regions ( Alain Tr幦eau & 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).

PART IV: GAMUT MAPPING.

How Different are Colour Gamuts in Cross-Media Colour Reproduction? (J嫕 Morovic & Pei-Li Sun).

Gamut Compression Algorithms based on Experimental Observer Data (Byoung-Ho Kang, Maeng-Sub Cho, J嫕 Morovic & Ronnier Luo).

A Topographic Gamut Mapping Algorithm (Lindsay MacDonald, J嫕 Morovic & Kaida Xiao).

Gamut Mapping for High Quality Print Reproduction (Phil Green & Ronnier Luo).

Gamut Mapping along Curved Lines (Hendrik Bring & Patrick Herzog).

PART V: 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).

Index.

商品描述(中文翻譯)

近年來,彩色影像科學的範圍和重要性迅速增長。隨著消費者影像產品的普及,彩色顯示器、打印機和數碼相機的功能也在增強。隨著跨媒體影像再現應用於互聯網和多媒體顯示、電影、數碼電視和擴增實境系統中,彩色影像科學面臨著新的挑戰。彩色影像科學採用跨學科的方法,結合人類視覺與彩色影像捕捉、處理和再現的方面:
- 彩色視覺 - 我們如何看和記住顏色
- 多光譜成像 - 在超過3個通道中捕捉和存儲影像
- 影像處理 - 糾正影像顏色並訪問數據庫
- 色域映射 - 如何在跨媒體影像再現中呈現顏色
- 影像質量 - 評估影像的指標和方法

彩色影像科學將吸引廣泛的讀者,包括從事彩色影像產品研究和開發的科學家和工程師。對於計算機科學、數碼影像和多媒體課程的研究生學生來說,它也是一本有價值的參考書。

目錄:
- 彩色圖版
- 前言
- 貢獻者
- 前言
- 第一部分:彩色視覺
- 透明度的感知(Caterina Ripamonti和Stephen Westland)
- 顏色記憶的研究(Peter Bodrogi和Tnde Tarczali)
- 大型印刷圖像中的顏色差異感知(Joan Uroz,Ronnier Luo和J嫕Morovic)
- 第二部分:多光譜成像
- 多光譜成像的評估(Yoichi Miyake和Kimiyoshi Miyata)
- 表面的光譜顏色統計(Mitch Thomson和Stephen Westland)
- 光譜掃描儀特性的通用方法(Friedhelm K霵ig和Patrick Herzog)
- 用於交互式多光譜測量的網絡攝像頭(Hans Brettel,Jon Yngve Hardeberg和Francis Schmitt)
- 第三部分:影像處理
- 顏色檢測(Georgina Kwei,Kobus Barnard和Brian Funt)
- 相鄰影像區域的顏色對比度(Alain Tr幦eau和Philippe Colantoni)
- 彩色影像數據庫的索引和檢索(Raimondo Schettini,Gianluigi Ciocca和Silvia Zuffi)
- 用於優化顏色外觀的空間色域計算(John McCann)
- 第四部分:色域映射
- 跨媒體彩色再現中的色域差異有多大?(J嫕Morovic和Pei-Li Sun)
- 基於實驗觀察者數據的色域壓縮算法(Byoung-Ho Kang,Maeng-Sub Cho,J嫕Morovic和Ronnier Luo)
- 一種拓撲色域映射算法(Lindsay MacDonald,J嫕Morovic和Kaida Xiao)
- 高質量印刷再現的色域映射(Phil Green和Ronnier Luo)
- 沿曲線的色域映射(Hendrik Bring和Patrick Herzog)
- 第五部分:影像質量
- 模擬顏色外觀、空間視覺和影像質量(Mark Fairchild)
- 影像質量的度量方法(Ralph Jacobson和Sophie Triantaphillidou)
- 影像質量和顏色分類(Sergej Yendrikhovskij)
- 如何拍攝照片並取悅人們(Robert Hunt)
- 索引