An improved fog-removing method for the traffic monitoring image - 文章详情页

作者：

Zhang, Wenli (Zhang, Wenli.) | Chen, Weibo (Chen, Weibo.) | Wang, Zhuozheng (Wang, Zhuozheng.) | Li, Honglu (Li, Honglu.)

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EI Scopus

摘要：

In　this　paper,　we　proposed　an　improved　fog-removing　method　in　order　to　make　the　images　becoming　more　clearly　and　more　easy　to　recognition.　The　proposed　method　combines　the　Retinex　algorithm　and　wavelet　transform　algorithm.　The　proposed　method　firstly　use　Retinex　algorithm　to　enhance　the　image,　then　the　wavelet　transform　algorithm　is　used　to　enhance　the　details　of　the　image,　finally　a　clearly　image　which　are　removed　fog　can　be　obtained　after　reduce　the　none-important　coefficients.　Through　analyzing　the　PSNR　(Peak　Signal-to-Noise　Ratio)　of　the　image　contrast,　the　images　which　are　processed　by　our　proposed　method　have　the　PSNR　values　higher　than　the　traditional　Retinex　algorithm＇s.　©　2014　IEEE.

关键词：

Signal to noise ratio Fog Wavelet transforms Image enhancement

作者机构：

[ 1 ] [Zhang, Wenli]Pilot College of Beijing, Beijing University of Technology, Beijing, China
[ 2 ] [Chen, Weibo]Pilot College of Beijing, Beijing University of Technology, Beijing, China
[ 3 ] [Wang, Zhuozheng]Pilot College of Beijing, Beijing University of Technology, Beijing, China
[ 4 ] [Li, Honglu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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