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Proceedings Paper

Color reproduction in computer vision
Author(s): Yiheng Cai; Lansun Shen; Baoguo Wei; Xinfeng Zhang
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Paper Abstract

The image recorded in a computer vision system depends on three factors: the physical content of the scene, the illumination on the scene, and the characteristics of the camera. The goal of computational color reproduction is to estimate the surface reflectance characteristics, reset the intensities of the color channels in digital images, and render the scene colors canonically. Computational color reproduction has important applications such as object recognition and scene understanding, as well as image reproduction. This paper divides color reproduction into two categories: one is the static color reproduction where the illumination condition is relatively stable; the other is the dynamic color reproduction where the illumination conditions cannot be controlled. We try to summarize and compare the methods respectively for the two categories. The three factors which influence the color values of digital images will be discussed firstly, then typical color reproduction methods for the two categories will be introduced; finally results and conclusion of these methods will be given at the end of this paper.

Paper Details

Date Published: 3 November 2005
PDF: 10 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431V (3 November 2005); doi: 10.1117/12.654938
Show Author Affiliations
Yiheng Cai, Beijing Univ. of Technology (China)
Lansun Shen, Beijing Univ. of Technology (China)
Baoguo Wei, Beijing Univ. of Technology (China)
Xinfeng Zhang, Beijing Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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