Image Dehazing Based on Multiple Scattering Model
Zhan Yuan, Wu Ling, Yanjie Wang, Mingzhu Sun, Mingzhuo Xia · Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering · 2020
Most of the exiting hazing algorithms are established on the assumptions of single scattering of light by atmospheric particles, but in real world, the multiple scattering is obvious and cannot be ignored. It is insufficient to describe the real atmospheric scattering phenomenon just considering the single atmospheric scattering. 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 priori. 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 estimated transmission with the minimum channel of RGB, and finally according to the multiple scattering model to recover a clear image. Experimental results demonstrate that our approach can achieve good results for image containing sky regions and has low computational complexity. Furthermore, the proposed algorithm can eliminate the blurring effect, while improves the contrast and sharpness of the hazy image.