An optimization model for infrared image enhancement method based on p-q norm constrained by saliency value

Fan Fan; Yong Ma; Xiaobing Dai; Xiaoguang Mei

doi:10.1117/12.2304557

10 April 2018 An optimization model for infrared image enhancement method based on p-q norm constrained by saliency value

Fan Fan, Yong Ma, Xiaobing Dai, Xiaoguang Mei

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152P (2018) https://doi.org/10.1117/12.2304557
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

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.

Citation Download Citation

Fan Fan, Yong Ma, Xiaobing Dai, and Xiaoguang Mei "An optimization model for infrared image enhancement method based on p-q norm constrained by saliency value", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152P (10 April 2018); https://doi.org/10.1117/12.2304557

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