关键词: 彩色图像去雾, 暗原色先验, CTV模型, 非局部算子, split Bregman算法

Abstract: Since the dark channel prior algorithm can recover images with different degrees of fog and scene depth, and NL-CTV（Non-Local Color Total Variation） model based on the non-local operators can maintain the image features better, a single color image dehazing algorithm on the basis of dark channel prior and NL-CTV model is proposed. Firstly, obtaining the atmospheric light and the transmission from the dark channel prior accurately. Then, deriving the non-local energy function which contains the atmospheric light and transmission. Finally, using auxiliary variables and Bregman iterative parameters to calculate the energy function, and designing its split algorithm. Comparing the proposed model with He algorithm, dark channel prior and Retinex algorithm, experimental results show that the proposed algorithm is superior to the traditional methods visually and objectively.

Key words: color image dehazing, dark channel prior, CTV model, non-local operators, split Bregman algorithm