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Single image haze removal for aqueous vapour regions based on optimal correction of dark channel

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Abstract

Haze removal is an interesting topic in multimedia and image processing for many applications. Specially for the automatic piloting of ships, the haze removal technology for aqueous vapour regions plays a key role in safe piloting. However, the existing haze removal methods did not dehaze well for these areas. Based on this motive, this paper presents a new haze removal approach to improve the dehazing effect for aqueous vapour regions, in which we design two new computing mechanisms. The first one is to propose a new gradient change model of the dark channel value related to aqueous vapour regions. The second one is to design an optimized and iterated correction method for the dark channel of aqueous vapour regions. Finally, based on these two computing mechanisms, a dynamic iterative optimal correction model is presented to solve the proposed method. Both the visual and the quantitative experiments demonstrate the proposed method outperforms both the family methods of dark channel prior and the deep learning-based methods in aqueous vapour regions. In conclusion, the proposed method can effectively remove the haze in aqueous vapour regions.

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Acknowledgements

This work is supported by the National Science Foundation of China under Grant No 62072348, the National Key R&D Program of China under Grant No 2019YFC1509604 and the Science and Technology Major Project of Hubei Province (Next-Generation AI Technologies) under Grant No 2019AEA170.

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Authors and Affiliations

  1. School of Computer Science, Wuhan University, Wuhan, China

    Jian Zhang & Fazhi He

  2. College of Sport Engineering and Information Technology, Wuhan Sports University, Wuhan, China

    Jian Zhang

  3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

    Xiaohu Yan & Yansong Duan

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  1. Jian Zhang
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  2. Fazhi He
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  3. Xiaohu Yan
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  4. Yansong Duan
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Correspondence to Fazhi He.

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Zhang, J., He, F., Yan, X. et al. Single image haze removal for aqueous vapour regions based on optimal correction of dark channel. Multimed Tools Appl 80, 32665–32688 (2021). https://doi.org/10.1007/s11042-021-11223-1

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