In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.
Bianco, S., Celona, L., Piccoli, F. (2020). Single Image Dehazing by Predicting Atmospheric Scattering Parameters. In London Imaging Meeting 2020: Future Colour Imaging (pp.74-77). Society for Imaging Science and Technology [10.2352/issn.2694-118X.2020.LIM-11].
Single Image Dehazing by Predicting Atmospheric Scattering Parameters
Bianco, Simone;Celona, Luigi
;Piccoli, Flavio
2020
Abstract
In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.
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