Single image dehazing based on multiple scattering model
Xipan Lu, Guoyun Lv, Tao Lei · 2014
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.