Single image dehazing based on multiple scattering model

Most of the existing hazing algorithms are established on the assumptions of single scattering, but the multiple scattering is obvious and cannot be ignored. To obtain a better dehazing effect, we first analyze the multiple atmospheric scattering in detail and propose an image degradation model based on multiple scattering. Second, we propose a new improved method on the basis of dark channel prior. The proposed algorithm uses the semi-reverse algorithm to determine the foggy area, and then estimates the atmospheric light A from the most concentrated area; and then estimates transmission with the minimum channel of RGB; finally recover a clear image according to the multiple scattering model. Experimental results demonstrate that the proposed method achieves good restoration for contrast and color fidelity and has low computational complexity.