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。
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. As to the image with unknown and variable scenery - depth taken in foggy environment, this method can highlight the local details and achieve fog elimination, and meet the requirement of real - time video image processing.
出处
《计算机仿真》
CSCD
北大核心
2009年第7期244-247,共4页
Computer Simulation
关键词
大气散射
自适应
增强
去雾
Atmospheric scatter
Serf - adaptation
Enhancement
Fog elimination
