半导体光子学与技术, 2009, 15 (4): 241, 网络出版: 2011-08-19  

A Fast Algorithm for Improving the Visual Distance in Fog

A Fast Algorithm for Improving the Visual Distance in Fog
作者单位
1 School of Information and Communication Engineering, Tianjin Polytechnic University, Tianjin 300160, CHN
2 School of Computer Science and Technology, Tianjin University, Tianjin 300072, CHN
摘要
Abstract
Images captured outdoor usually degenerate because of the bad weather conditions, among which fog, one of the widespread phenomena, affects the video quality greatly. The physical features of fog make the video blurred and the visible distance shortened, seriously impairing the reliability of the video system. In order to satisfy the requirement of image processing in real-time, the normal distribution curve fitting technology is used to fit the histogram of the sky part and the region growing method is used to segment the region of sky. As for the non-sky part, a method of self-adaptive interpolation to equalize the histogram is adopted to enhance the contrast of the images. Experiment results show that the method works well and will not cause block effect.
参考文献

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YANG Wei, XIAO Zhi-tao, YU Jian, YAN Zhi-jie. A Fast Algorithm for Improving the Visual Distance in Fog[J]. 半导体光子学与技术, 2009, 15(4): 241. YANG Wei, XIAO Zhi-tao, YU Jian, YAN Zhi-jie. A Fast Algorithm for Improving the Visual Distance in Fog[J]. Semiconductor Photonics and Technology, 2009, 15(4): 241.

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