Single image dehazing using anisotropic diffusion

To suppress the halo effect of the existing dehaze algorithms and improve the detail of the recovered hazy image, a new single image dehazing algorithm based on anisotropic diffusion is proposed. Firstly, the transmission map is roughly estimated based on pixel-based dark channel prior, then the accurate transmission map is obtained by using Perona-Malik model and minimum pixel correction method. The atmospheric light is obtained from the sorted pixel-based bright channel pixels. Experimental results show that the algorithm can recover more details of the images and effectively suppress halo phenomenon.