Model-Based Single Image Deep Dehazing [article]

Zhengguo Li, Chaobing Zheng, Haiyan Shu, Shiqian Wu
2022 arXiv   pre-print
Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values. Data-driven ones restore images with high PSNR values but with low contrast, and even some remaining haze. In this paper, a novel single image dehazing algorithm is introduced by fusing model-based and data-driven approaches. Both transmission map and atmospheric light are initialized by the model-based methods, and refined by deep learning approaches which form a
more » ... al augmentation. Haze-free images are restored by using the transmission map and atmospheric light. Experimental results indicate that the proposed algorithm can remove haze well from real-world and synthetic hazy images.
arXiv:2111.10943v3 fatcat:jbjetugjszeuphnf3rzrpjxlsi