Image Defogging algorithm Based on Image Bright and Dark Channels

被引：0

作者：

Wen, Shuhuan ^{[1
]}

Zhao, Yanfang ^{[1
]}

Ma, Jinrong ^{[1
]}

Lam, Hak Keung ^{[2
]}

Wang, Hongbin ^{[1
]}

机构：

[1] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao, Peoples R China

[2] Kings Coll London, Dept Informat, London WC2R 2LS, England

来源：

2018 WRC SYMPOSIUM ON ADVANCED ROBOTICS AND AUTOMATION (WRC SARA) | 2018年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an image defogging algorithm based on the combination of bright and dark channel in fog and haze weather. A model of the air light scattering is proposed based on the physical model of degraded image. Air light value and transmissivity are estimated by using the combination of light channel prior and dark channel prior. The algorithm can solve color distortion problem of sky area when fog-free image is restored, recover the image details and color, and improve the vision effect of the image. Evaluation parameters are used to compare the image quality. Simulation results show that the algorithm proposed in this paper is better than multi-scale Retinex image defogging algorithm.

引用

页码：269 / 274

页数：6

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