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Proceedings Paper

A method of color correction of camera based on HSV model
Author(s): Rujin Zhao; Jin Wang; Guobing Yu; Jie Zhong; Wulin Zhou; Yihao Li
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Paper Abstract

A novel color correction method of camera based on HSV (Hue, Saturation, and Value) model is proposed in this paper, which aims at the problem that spectrum response of camera differs from the CIE criterion, and that the image color of camera is aberrant. Firstly, the color of image is corrected based on HSV model to which image is transformed from RGB model. As a result, the color of image accords with the human vision for the coherence between HSV model and human vision; Secondly, the colors checker with 24 kinds of color under standard light source is used to compute correction coefficient matrix, which improves the spectrum response of camera and the CIE criterion. Furthermore, the colors checker with 24 kinds of color improves the applicability of the color correction coefficient matrix for different image. The experimental results show that the color difference between corrected color and color checker is lower based on proposed method, and the corrected color of image is consistent with the human eyes.

Paper Details

Date Published: 2 September 2014
PDF: 6 pages
Proc. SPIE 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, 92840G (2 September 2014); doi: 10.1117/12.2070593
Show Author Affiliations
Rujin Zhao, Institute of Optics And Electronics (China)
Jin Wang, Institute of Optics and Electronics (China)
Guobing Yu, Institute of Optics and Electronics (China)
Jie Zhong, Institute of Optics And Electronics (China)
Wulin Zhou, Institute of Optics And Electronics (China)
Yihao Li, Shanghai Aerospace Control Technology Research Institute (China)


Published in SPIE Proceedings Vol. 9284:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging
Yadong Jiang; Junsheng Yu; Bernard Kippelen, Editor(s)

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