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Underwater image enhancement based on color correction and multi-scale fusion
Image Enhancement | 更新时间:2024-08-16
    • Underwater image enhancement based on color correction and multi-scale fusion

    • In the field of underwater image enhancement, this study is based on Unet network, which introduces color correction and dual attention modules through multi-scale input and feature fusion, effectively improving image quality. The experimental results show that the algorithm outperforms other methods significantly on multiple datasets.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 8, Pages: 1046-1056(2024)
    • DOI:10.37188/CJLCD.2023-0274    

      CLC: TP391.4
    • Received:21 August 2023

      Revised:26 September 2023

      Published:05 August 2024

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  • TAO Yang, WU Ping, LIU Yuting, et al. Underwater image enhancement based on color correction and multi-scale fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1046-1056. DOI: 10.37188/CJLCD.2023-0274.

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