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Proceedings Paper

A defogging method of single foggy image based on physical model
Author(s): Liang Yan; Zhong Chen; Jing Fan; Jing Gong; Dong Wang
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Paper Abstract

The algorithm of single image haze removal using dark channel prior has a good result on restoring hazy images and makes it clear. But the original algorithm has some disadvantages such as inaccurate estimation of atmospheric light and distortion of the sky region. From the perspective of the two problems referred previously, we propose a new method to estimate the transmission and atmosphere light. First, according to the characteristics of the sky region, we divide the sky region and get the accurate atmospheric light; then, in order to avoid the distortion of the sky, a controllable parameter K is introduced to the transmission. The experiment results show that the restored images acquired by the experiment have natural colors and clear details.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981512 (14 December 2015); doi: 10.1117/12.2203658
Show Author Affiliations
Liang Yan, Huazhong Univ. of Science and Technology (China)
Zhong Chen, Huazhong Univ. of Science and Technology (China)
Jing Fan, Huazhong Univ. of Science and Technology (China)
Jing Gong, Huazhong Univ. of Science and Technology (China)
Dong Wang, Beijing Aerospace Automatic Control Institute (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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