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This paper describes a method to restore degraded images captured in aparticipating media -- fog, turbid water, sand storm, etc. Differently from therelated work that only deal with a medium, we obtain generality by using animage formation model and a fusion of new image priors. The model considers theimage color variation produced by the medium. The proposed restoration methodis based on the fusion of these priors and supported by statistics collected onimages acquired in both non-participating and participating media. The key ofthe method is to fuse two complementary measures --- local contrast and colordata. The obtained results on underwater and foggy images demonstrate thecapabilities of the proposed method. Moreover, we evaluated our method using aspecial dataset for which a ground-truth image is available.

Single Image Restoration for Participating Media Based on Prior Fusion