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Single image fog and haze removal based on self-adaptive guided image filter and color channel information of sky region

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Abstract

In this paper, we report an effective algorithm for removing both fog and haze from a single image. Existing algorithms based on atmospheric degeneration model generally lead to non-definite solutions for the haze and thick fog images, though they are very efficient for thin fog images. In general, as the algorithms based on vision enhancement cannot automatically adjust weight coefficient for the different structure images, the excessive or inadequate enhancement may emerge. In this paper an original degradation image is primarily segmented into the sky and non-sky regions, and then the main boundaries of non-sky region are extracted using L 0 smoothing filter. So our vision enhancement algorithm automatically adjusts weight coefficient according to various structure images. At the stage of vision enhancement, guided image filter famous for its excellent boundary preservation is adopted. As for haze image, the color channel information scattered by haze particles can be obtained in the sky region to make an effective color correction. Both the subjective and objective evaluations of experimental results demonstrate that the proposed algorithm has more outstanding recovery effect for haze and thick fog images. Moreover, the proposed algorithm can judge fog or haze image, which is a by-product of this research.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 41601353, 61503300), and Foundation of Key Laboratory of Space Active Opto-Electronics Technology of Chinese Academy of Sciences (No. AOE-2016-A02), and Scientific Research Program Funded by Shaanxi Provincial Education Department (No. 16JK1765), and Natural Science Basic Research Plan in Shaanxi Province of China (No. 2014JQ8327 and 2017JQ4003) and Foundation of State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences (No. SKLST201614).

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Authors and Affiliations

  1. School of Information and Technology, Northwest University, Xi’an, 710127, People’s Republic of China

    Bo Jiang, Hongqi Meng, Jian Zhao, Lin Wang, Yan Zhou, Yi Ru & Chao Ru

  2. Department of Physics, Emory University, Atlanta, Georgia, 30322, USA

    Xiaolei Ma

  3. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China

    Siyu Jiang

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  1. Bo Jiang
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  2. Hongqi Meng
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  5. Siyu Jiang
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  7. Yan Zhou
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  8. Yi Ru
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  9. Chao Ru
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Correspondence to Bo Jiang.

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Jiang, B., Meng, H., Zhao, J. et al. Single image fog and haze removal based on self-adaptive guided image filter and color channel information of sky region. Multimed Tools Appl 77, 13513–13530 (2018). https://doi.org/10.1007/s11042-017-4973-6

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  • DOI: https://doi.org/10.1007/s11042-017-4973-6

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