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An adaptive color correction method for underwater single image haze removal

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Abstract

The issue of underwater image haze removal is investigated in this paper. The exponential attenuation phenomenon in the underwater light propagation process causes the low contrast, color distortion, and blurred edges problems of underwater images and consequently limits the application of the vision-based underwater technology. To overcome these problems, an adaptive color correction method is proposed for underwater single image haze removal. First of all, the estimated transmission map by image blurriness is adopted in the image formation model to remove the haze of underwater images. Secondly, the alternating direction method of multipliers and the histogram displacement in the Lab color space are used to improve the uniform brightness and to correct the color distortion of the restored underwater images. Finally, both qualitative and quantitative experimental results show that the proposed method can produce better restoration results in different underwater scenes compared to other state-of-the-art underwater image restoration methods.

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Authors and Affiliations

  1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, 710072, China

    Wenbo Zhang, Weidong Liu, Le Li, Jiyu Li, Meijie Zhang & Yanli Li

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  1. Wenbo Zhang
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  2. Weidong Liu
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  3. Le Li
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  4. Jiyu Li
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  5. Meijie Zhang
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  6. Yanli Li
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Correspondence to Le Li.

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This work was supported in part by the National Key Research and Development Program of China (Project No.2016YFC0301700), in part by the National Natural Science Foundation of China (Project No.61903304), in part by the Fundamental Research Funds for the Central Universities (Project No.3102020HHZY030010), and in part by the 111 Project under Grant No.B18041.

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Zhang, W., Liu, W., Li, L. et al. An adaptive color correction method for underwater single image haze removal. SIViP 16, 1003–1010 (2022). https://doi.org/10.1007/s11760-021-02046-6

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  • DOI: https://doi.org/10.1007/s11760-021-02046-6

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