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Proceedings Paper

An automatic white balance method based on gray world and coincidence of chromaticity histogram
Author(s): Lei Zhang; Haiyang Zhou; Ling Yan; Rong Zheng; Feihong Yu
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Paper Abstract

Digital image camera has received more and more attention because of its convenience in storing and transferring, the still exist problems about it are also hot topics of research. Auto white balance is one of the problems, it’s the result of differences between image sensors and human eyes. If the illumination of environment has changed, color cast will happen in image from sensors, but image from eyes due to color constancy won’t. For weakening this inconsistence and acquiring image of same scene under canonical illumination, color adjustment according to color temperature of environment should be considered. In this paper, an auto white balance approach combined gray world and coincidence of chromaticity histogram (GWCCH) is proposed. It’s based on basic assumptions of these two methods, measures color components in image, and selects appropriate routine and arguments to implement auto white balance. In the experiment results, the proposed method can meet the theory of gray world (GW) or coincidence of chromaticity histogram (CCH) respectively, and get good effect in more scenes than these two methods.

Paper Details

Date Published: 25 October 2016
PDF: 8 pages
Proc. SPIE 9686, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices, 968616 (25 October 2016); doi: 10.1117/12.2242618
Show Author Affiliations
Lei Zhang, Zhejiang Univ. (China)
Haiyang Zhou, Zhejiang Univ. (China)
Ling Yan, Zhejiang Univ. (China)
Rong Zheng, Zhejiang Univ. (China)
Feihong Yu, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 9686:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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