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	Single image De-haze based on a new dark channel estimation method
	Jin, Wenbo ; Mi, Zengyuan ; Wu, Xiaotian ; Huang, Yue ; Ding, Xinghao ; Huang Y(黄悦) ; Ding XH(丁兴号)
	2012
关键词	Computer science Fog Image reconstruction
英文摘要	Conference Name:2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012. Conference Address: Zhangjiajie, China. Time:May 25, 2012 - May 27, 2012.; IEEE Beijing Section; Hunan University of Humanities, Science and Technology; Tongji University; Xiamen University; Central South University; The image quality is effected dramatically by the weather conditions such as haze, fog and smoke, in surveillance or vehicle systems. In this paper, we propose a novel algorithm to remove haze from a single image. A new dark channel estimation method is employed by subtracting three times variance from mean to approximate the minimum value, which is defined as the dark channel in a local area. To achieve anisotropic local mean and variance, a fast bilateral filter is introduced. Its complexity is a linear function of the size of the image, which makes real-time visibility restoration possible. Compared with existing algorithm based on dark channel prior, the proposed algorithm have better performance by reducing the halos introduced by large patches very well with less computational cost. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/CSAE.2012.6272884
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86734]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Jin, Wenbo,Mi, Zengyuan,Wu, Xiaotian,et al. Single image De-haze based on a new dark channel estimation method. 2012-01-01.

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