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Visibility restoration for real-world hazy images via improved physical model and Gaussian total variation

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 62301453) and the Natural Science Foundation of Chongqing, China (No. cstc2020jcyj-msxmX0324).

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Authors and Affiliations

  1. College of Computer and Information Science, Southwest University, Chongqing, 400715, China

    Chuan Li & Hao Zhou

  2. School of Big Data and Intelligent Engineering, Chongqing College of International Business and Economics, Chongqing, 401520, China

    Chuan Li

  3. College of Artificial Intelligence, Southwest University, Chongqing, 400715, China

    Enping Hu, Xinyu Zhang & Yun Liu

  4. College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, China

    Hailing Xiong

Authors
  1. Chuan Li
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  2. Enping Hu
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  3. Xinyu Zhang
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  4. Hao Zhou
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  5. Hailing Xiong
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  6. Yun Liu
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Corresponding author

Correspondence to Yun Liu.

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Competing interests The authors declare that they have no competing interests or financial conflicts to disclose.

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Li, C., Hu, E., Zhang, X. et al. Visibility restoration for real-world hazy images via improved physical model and Gaussian total variation. Front. Comput. Sci. 18, 181708 (2024). https://doi.org/10.1007/s11704-023-3394-0

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  • DOI: https://doi.org/10.1007/s11704-023-3394-0