单幅图像快速去雾霾算法

摘要

This paper proposed a new single image fast dehazing algorithm based on a physical model . Taking into account the low -frequency and single channel of the transmission image , we simplify the at-mospheric scattering model from the perspective of fog formation and obtain the new dehazing model .We use the dark channel prior method to estimate the atmosphere light value A, and use SIM as image defini-tion evaluation criteria to determine the optimal value of ω, thus get the best dehazing image .A large number of experiments show that the algorithm is better than existing algorithms in terms of processing speed or the dehazing effect .%提出一种基于物理模型的单幅图像快速去雾霾新算法。从雾形成的角度出发，考虑到传播图像的低频性和单通道性，对大气散射模型进行变换化简，得到新的去雾模型。利用暗原色先验方法估计大气光值A，并利用SSIM作为图像清晰度评价标准以确定ω的最优值，从而得到最优的复原结果。大量实验表明，该算法无论在处理速度还是去雾效果上都优于现有算法。