Hybrid single image dehazing with bright channel and dark channel priors

This paper proposes a novel method combining dark channel prior (DCP) and bright channel prior (BCP) for single image dehazing. The proposed method achieves airlight approximations by implementing numerical proximity of atmospheric light, which use the average value of the DCP and BCP. Meanwhile, in order to reduce computational time, a fast guided filtration method is used for the transmission map refinement. Experimental results on a variety of outdoor hazy images show the effectiveness and robustness of the proposed algorithm.