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.