In this paper

we proposed two new video defogging algorithms based on fog theory.One is regarding fog as the veil layer to be subtracted

and the other is taking fog as the transmission map to be separated from the original video.The former uses the luminance component image obtained by Retinex algorithm and the depth information of the original video frames to separate the veil layer.The latter applies a single transmission map obtained from the background image to a series of video frames.Experiments show that both algorithms can effectively improve the contrast and quality of the video frames.Compared with other state of the art algorithms

our algorithms restore video frames from a perspective of fog with no reference image and low computation cost.The new algorithms can remove fog effectively as well as provide a good practicability and a fast speed.