A fast image defogging method

Kang Mei; Xiao-qin Liu; Zhen-dong Wang; Chao Mu

doi:10.1117/12.2565051

17 April 2020 A fast image defogging method

Kang Mei, Xiao-qin Liu, Zhen-dong Wang, Chao Mu

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145559 (2020) https://doi.org/10.1117/12.2565051
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

The image captured in foggy weather is often degraded, traditional defogging algorithms take a long time.Concerning this issue, in this paper, we propose a fast defogging method based on the quickly edge-preserving filtering algorithm, and apply it into image defogging.First, the atmospheric veil is estimated by taking use of the properties that the quickly edge-preserving filtering is available to preserve edge and smooth noise, so as we can solve the atmospheric transmittance distribution. Then, estimating the atmospheric light by quadtree search algorithm .Finally, the haze-free image is recovered by transforming the atmospheric scattering model. The experimental results show that the algorithm can effectively restore the fog image,and has a small time complexity, which is beneficial to the realization of real-time defogging.

Citation Download Citation

Kang Mei, Xiao-qin Liu, Zhen-dong Wang, and Chao Mu "A fast image defogging method", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145559 (17 April 2020); https://doi.org/10.1117/12.2565051

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