A fast method of foggy image enhancement
Rong Wang, Xiaogang Yang · 2012
A fast method of foggy image enhancement is proposed in this paper. Firstly, the depth information of the foggy image is extracted according to the foggy image model and the prior knowledge. Secondly, the transmission ratio of the atmosphere light is estimated and adjusted, and the atmosphere light A is also estimated. At last, the gama adjustment is used to get the final enhancement image. Comparing with other method, the speed is faster than the one in reference [9]. Seen from the experimental results the method proposed in this paper is suitable for the application need fast computation. Comparing with retinex method, the deblurring effect of the algorithm proposed in this paper is better than the one obtained from retinex method.