Abstract:

To overcome the limitation of dark channel prior’s application, and strengthen the first-order Markov random fields (MRF) constraint ability of the global image information, a local consistent MRF defogging method is proposed based on color attenuation. First, combining with the advantages of color attenuation and dark channel priors, a more robust estimation of medium transmission is obtained. Then, the cost function is constructed with the color features based consistent blocks instead of Markov random fields’ two-order and higher-order energy terms. Finally, the defogged image is obtained.The experimental results show that this method could improve the image resolution.