Fast single image defogging method based on physical model

Tong Liu; Wei Song; Chao Du; Hanshi Wang; Lizhen Liu; Jingli Lu

doi:10.1117/12.2243840

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29 August 2016 Fast single image defogging method based on physical model

Tong Liu, Wei Song, Chao Du, Hanshi Wang, Lizhen Liu, Jingli Lu

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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003329 (2016) https://doi.org/10.1117/12.2243840
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In the haze and other weather conditions, the scattering of atmospheric particles leads to a serious degradation of the captured images. In this paper, we present a new fast defogging method based on physical model. The algorithm is based on the atmospheric scattering model to simplify the atmospheric scattering model by using the white balance. A fast bilateral filtering method is used to estimate the atmospheric veil, and then recover the visibility. The time complexity of the algorithm is linear function of the number of image pixels, which has a very fast execution speed. Experimental results show that the proposed algorithm can effectively restore the contrast and color of the scene, so that the image can be improved significantly.

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Tong Liu, Wei Song, Chao Du, Hanshi Wang, Lizhen Liu, and Jingli Lu "Fast single image defogging method based on physical model", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003329 (29 August 2016); https://doi.org/10.1117/12.2243840

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