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Proceedings Paper

An optimization model for infrared image enhancement method based on p-q norm constrained by saliency value
Author(s): Fan Fan; Yong Ma; Xiaobing Dai; Xiaoguang Mei
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Paper Abstract

Infrared image enhancement is an important and necessary task in the infrared imaging system. In this paper, by defining the contrast in terms of the area between adjacent non-zero histogram, a novel analytical model is proposed to enlarge the areas so that the contrast can be increased. In addition, the analytical model is regularized by a penalty term based on the saliency value to enhance the salient regions as well. Thus, both of the whole images and salient regions can be enhanced, and the rank consistency can be preserved. The comparisons on 8-bit images show that the proposed method can enhance the infrared images with more details.

Paper Details

Date Published: 10 April 2018
PDF: 6 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152P (10 April 2018); doi: 10.1117/12.2304557
Show Author Affiliations
Fan Fan, Wuhan Univ. (China)
Yong Ma, Wuhan Univ. (China)
Xiaobing Dai, Wuhan Univ. (China)
Xiaoguang Mei, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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