A fast image defogging method

被引:0
作者
Mei Kang [1 ,2 ]
Liu Xiao-qin [1 ]
Wang Zhen-dong [1 ,2 ]
Mu Chao [1 ]
机构
[1] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Anhui, Peoples R China
[2] Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
来源
SIXTH SYMPOSIUM ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS | 2020年 / 11455卷
关键词
Defogging; Atmospheric scattering model; Atmospheric transmittance distribution; Edge-preserving filter; Quadtree; ENHANCEMENT;
D O I
10.1117/12.2565051
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The image captured in foggy weather is often degraded, traditional defogging algorithms take a long time.Concerning this issue, in this paper, we propose a fast defogging method based on the quickly edge-preserving filtering algorithm, and apply it into image defogging.First, the atmospheric veil is estimated by taking use of the properties that the quickly edge-preserving filtering is available to preserve edge and smooth noise, so as we can solve the atmospheric transmittance distribution. Then, estimating the atmospheric light by quadtree search algorithm .Finally, the haze-free image is recovered by transfouning the atmospheric scattering model. The experimental results show that the algorithm can effectively restore the fog image,and has a small time complexity, which is beneficial to the realization of real-time defogging.
引用
收藏
页数:12
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