Method and Application of Image Clearness in Bad Weather

Abstract

Aiming at degraded phenomena of images taken in bad weather, in this paper, a new entirely self - adapting method of image clearness is proposed on the basis of an atmospheric scattering model. First, under the gray distributing characteristics of a degraded image, we can get the optimal normal distribution. Second, the gray mean of the sky distribution can be obtained according to the optimal normal distribution. At the same time, to use the gray histogram segments this original image, and we can obtain the iso-depth neighborhoods. Last, employing the model lists equations, and the values of normalized radiance can be gotten. Thereby, the overcast of degraded images can be cleared. Experiments show the method can effectively improve degraded images in bad weather.