关键词: 图像雾霾去除, 单色大气散射模型, 有约束最优化问题, 场景反照率, 视见度

Abstract: Collected images are often degraded in terms of contrast and visibility by scattering caused by atmospheric particles. To solve the problem, a new fast rendition algorithm for haze degraded image was proposed. The algorithm was based on the monochrome atmospheric scattering model. According to the prior knowledge and the priori assumptions of the airlight, the constrainted optimal problem was constructed to estimate the airlight. And the scene albedo was restored with scattering model and the airlight. The experimental results show that the proposed algorithm achieves great restoration of images with various depth maps and improves the visibility of the scene. Besides, the algorithm is robust. Compared with other algorithms, the running efficiency of the algorithm is more than doubled. And the algorithm can be implemented in intelligent traffic monitoring and some other visible light computer vision systems.

Key words: image dehazing, monochrome atmospheric scattering model, constrained optimal problem, scene albedo, visibility