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Underwater image enhancement based on multi-branch residual attention network
Information Sciences | 更新时间:2025-05-27
    • Underwater image enhancement based on multi-branch residual attention network

    • The latest research proposes an underwater image enhancement algorithm based on a multi branch residual attention network, which effectively improves image color, contrast, and detail, providing a new method for underwater image analysis.
    • Optics and Precision Engineering   Vol. 33, Issue 7, Pages: 1141-1151(2025)
    • DOI:10.37188/OPE.20253307.1141    

      CLC: TP394.1;TH691.9
    • CSTR:32169.14.OPE.20253307.1141    
    • Received:03 September 2024

      Revised:23 November 2024

      Published:10 April 2025

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  • CHENG Zhuming,LI Jiaxuan,HUANG San'ao,et al.Underwater image enhancement based on multi-branch residual attention network[J].Optics and Precision Engineering,2025,33(07):1141-1151. DOI: 10.37188/OPE.20253307.1141. CSTR: 32169.14.OPE.20253307.1141.

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