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雾天环境下自适应图像增强去雾方法研究
引用本文:艾明晶,戴隆忠,曹庆华.雾天环境下自适应图像增强去雾方法研究[J].计算机仿真,2009,26(7):244-247.
作者姓名:艾明晶  戴隆忠  曹庆华
作者单位:北京航空航天大学计算机学院,北京,100191
摘    要:由于雾天环境下大气散射现象,拍摄出来的景物能见度和对比度会大幅降低.为了解决问题,提出了一种针对雾天环境的自适应图像增强去雾方法,部分重叠直方图均衡化方法(POSHE).方法将邻域内的子块变换函数通过加权求和计算得到当前子块的变换函数,以消除子块直方图均衡化变换之间的差异,对于图像场景深度信息多变且未知的雾天图像能够突出图像的局部细节信息,达到良好的去雾效果,并能够满足实时视频图像处理的要求.

关 键 词:大气散射  自适应  增强  去雾

A Self-Adaptation Image Enhancement Method for Fog Elimination in Foggy Environment
AI Ming-jing,DAI Long-zhong,CAO Qing-hua.A Self-Adaptation Image Enhancement Method for Fog Elimination in Foggy Environment[J].Computer Simulation,2009,26(7):244-247.
Authors:AI Ming-jing  DAI Long-zhong  CAO Qing-hua
Affiliation:School of Computer Science and Technology;Beijing Universityof Aeronautics and Astronautics;Beijing 100191;China
Abstract:Due to the atmospheric scatter in foggy environment,the visibility and contrast of the shot scene would be seriously decreased.To solve the problem,the paper proposed a self-adaptation image enhancement method for fog elimination named Partially Overlapped Sub-Block Histogram Equalization(POSHE),which will change the sub-block transform function within the field into the current transform function through weighted sum to eliminate the differences among the equalization transform of the sub-block histogram.A...
Keywords:Atmospheric scatter  Self-adaptation  Enhancement  Fog elimination  
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