Fast image haze-removal algorithm based on the prior dark-channel
基于暗原色先验模型的快速去雾算法

In order to eliminate fog or haze in outdoor images in real time, a fast haze-removal algorithm is proposed based on the theory of dark channel prior. By improving the transmission repairing method, the computational effort is reduced. Furthermore, by self-adaptively controlling the values of transmission-rate lower limits and the global atmospheric lights, this algorithm could be used in more image dehazing applications. Finally, a post-processing procedure is adopted to enhance the visual effect of the dehazed image. Experiments show that the presented method processes the fog image effectively and fast,making the algorithm easy to achieve real-time capabilities.