Single Image Haze Removal Method Using Conditional Random Fields

In this letter, we propose a single image haze removal method, which is inherently an ill-posed problem due to the transmission estimation that is dependent on the depth information. The pointwise haze density estimation method using conditional random fields includes the unary factor that encodes the likelihood for the haze density and the pairwise factor that encodes the spatial contextual relationship between adjacent unary factors. The proposed scheme makes elimination of the refining process possible and it may prevent the halo effect at object boundaries. The results of experiments carried out on various real and synthesized images, and comparison with existing methods are presented to verify the effectiveness of the proposed method.