An adaptive and effective single image dehazing algorithm based on dark channel prior
In this paper, we describe a novel and effective single image enhancement algorithm for haze image. As we observe that, the contrast and intensity of haze image after using dark channel prior approach will unavoidably tend to be lower than those of the real scene, we proposed a method using histogram specification to make an improvement on image after dark channel prior approach. We make a large number of experiment and find that, if dealing with a haze image with large background area and low contrast, dark channel prior result will become dark, also a general haze image after dark channel occurs different degree of anamorphose. We introduce an adaptive algorithm to repair the different kinds of anamorphose on the hazy image after dark channel prior. The experimental results shows that our method make the dehazing result more close to real scene.