A Self-Adaptation Image Enhancement Method for Fog Elimination in Foggy Environment
Cao Qinghua · Jisuanji fangzhen · 2009
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.