A image fog removal method based on human visual property
Xin Ning, Weijun Li, Xiaoli Dong, Liping Zhang, Yating Shi · 2015
This paper proposed a image fog removal method. The method based on the disinhibition properties of retinal neurons concentric receptive field whose function is three Gaussians. Firstly, we enhance original fog image by using contrast limited global histogram equalization. Secondly, a local image enhancement method is carried out to restore the image's details and deepness information. According to comparison experiment, the results of this paper's method were compared with the results of dark channel prior based method and the results of CLAHE (Contrast Limited Adaptive Histogram Equalization). The experimental results proved that the method of contrast limited global histogram equalization was able to avoid enhancing too light and to avoid adding noising. In addition, local details enhancement by three Gaussians strengthened the image's depth information. The method of this paper worked well in images fog removing and enhanced fog images' visibility.