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Model-Based Single Image Deep Dehazing
[article]
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
arXiv:2111.10943v3
fatcat:jbjetugjszeuphnf3rzrpjxlsi