A Fast Video Image Defogging Algorithm Based on Dark Channel Prior

The captured images in the frog climatic condition are often blurred and will degrade the performance of the video surveillance system. In order to meet the real-time requirements of video image defogging, this paper proposes a fast video image defogging algorithm based on the dark channel prior. Firstly, atmospheric light value is estimated by more reasonable way. Secondly, the tolerance mechanism is included for adjusting the transmission rate map in the bright areas in order to eliminate color distortion phenomenon in the bright areas of the image. Finally, by reducing the transmission rate map resolution reasonably, the calculating time is shorten but the processing effects is not affected at the same time. The experiment results show that the proposed method can get a good defogging effect.