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An Effective Algorithm for Single Image Fog Removal

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Abstract

Poor visibility due to the effects of light absorption and scattering is challenging for processing images captured in foggy weather conditions. This paper proposes an effective algorithm for single image fog removal based on degradation model and group-based sparse representation (GSR). The proposed degradation model is constructed based on a classical physical model, i.e., dichromatic atmospheric scattering model. Then, the new degradation model is integrated into the group-based sparse representation framework. Finally, the single image defogging problem is regarded as an image restoration problem, which can be well optimized by GSR. The method is compared with several well-known algorithms from the literature using qualitative and quantitative evaluations, and results indicate considerable improvement over existing algorithms.

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Acknowledgements

This work was supported in part by the Fundamental Research Funds for the Central Universities (Grant No. 2019B15314, 30918014107), in part by the National Natural Science Foundation of China (Grant No. 61603124), in part by the Jiangsu Government Study Scholarship, in part by the Six Talents Peak Project of Jiangsu Province (Grant No. XYDXX-007), and in part by the 333 High-Level Talent Training Program of Jiangsu Province.

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Authors and Affiliations

  1. College of Computer and Information, Hohai University, Nanjing, 211100, China

    Xin Wang, Xin Zhang & Hangcheng Zhu

  2. Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, 210000, China

    Xin Wang & Qiong Wang

  3. School of Physics and Technology, Nanjing Normal University, Nanjing, 210023, China

    Chen Ning

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  1. Xin Wang
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Correspondence to Xin Wang.

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Wang, X., Zhang, X., Zhu, H. et al. An Effective Algorithm for Single Image Fog Removal. Mobile Netw Appl 26, 1250–1258 (2021). https://doi.org/10.1007/s11036-019-01340-5

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