A defogging method of single foggy image based on physical model

Liang Yan; Zhong Chen; Jing Fan; Jing Gong; Dong Wang

doi:10.1117/12.2203658

14 December 2015 A defogging method of single foggy image based on physical model

Liang Yan, Zhong Chen, Jing Fan, Jing Gong, Dong Wang

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981512 (2015) https://doi.org/10.1117/12.2203658
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Liang Yan, Zhong Chen, Jing Fan, Jing Gong, and Dong Wang "A defogging method of single foggy image based on physical model", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981512 (14 December 2015); https://doi.org/10.1117/12.2203658

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KEYWORDS

Image restoration

Atmospheric modeling

Image transmission

Air contamination

Fiber optic gyroscopes

Atmospheric physics

Image enhancement

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