Fast Single Image Dehazing Using Saturation Based Transmission Map Estimation


Dehazing a single photograph has proven to be a difficult task due to the image's unnatural lighting. As a result, several initiatives in the field of haze removal have been undertaken. In this paper, we present an approach for removing haze that is simple, fast, and powerful. Only the saturation of the scene radiance affects the medium transmission, and this saturation may be determined by a straightforward stretching method. Because this method does not imply that transmission in a tiny patch is constant, it is possible to estimate a different medium transmission for each pixel. In addition, a white balance-based algorithm for removing colour veil from images containing fine or yellow dust is presented in this study. The suggested algorithm does not necessitate any type of training or prior iteration. Simulations demonstrate that the proposed dehazing method surpasses current dehazing approaches in terms of computing complexity and dehazing efficacy.

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