Journal of Applied Optics, Volume. 45, Issue 1, 89(2024)

Underwater image enhancement based on multiscale residual attention networks

Qingjiang CHEN... Xuanjun WANG* and Fei SHAO |Show fewer author(s)
Author Affiliations
  • School of Science, Xi'an University of Architecture and Technology, Xi'an 710055, China
  • show less
    Figures & Tables(16)
    Convolution operation
    Maximum pooling and average pooling operations
    Structure diagram of residual module
    Structure diagram of multi-scale residual attention network
    Multi-scale dense feature extraction module
    UNet3+-Avg module
    Construction process of layer-3 decoder feature map XDe3
    Attention residual recovery module
    CBAM module
    Underwater image example
    Comparison of results of different enhancement methods
    Comparison of results of ablation experiments
    Edge detection results
    • Table 1. Average scores of subjective evaluation of nine experimental models

      View table
      View in Article

      Table 1. Average scores of subjective evaluation of nine experimental models

      EvaluationCLAHE[5]UCM[6]UDCP[7]IBLA[8]UWCNN[10]CycleGAN[18]MSRA-Net[19]AttR2U-Net[20]Ours
      Score0.52.93.10.51.02.93.53.73.9
    • Table 2. Average scores of evaluation indexes of nine experimental models

      View table
      View in Article

      Table 2. Average scores of evaluation indexes of nine experimental models

      EvaluationCLAHE[5]UCM[6]UDCP[7]IBLA[8]UWCNN[10]CycleGAN[18]MSRA-Net[19]AttR2U-Net[20]Ours
      PSNR/dB19.8921.4510.3314.1916.2520.9320.4121.7323.63
      SSIM0.890.910.580.650.830.750.880.900.93
    • Table 3. Mean scores of evaluation indexes of ablation experiments

      View table
      View in Article

      Table 3. Mean scores of evaluation indexes of ablation experiments

      ModelMDFERARCharbonnierEdgePSNRSSIM
      a18.250.68
      b20.470.84
      c18.470.83
      d19.980.69
      Our23.630.93
    Tools

    Get Citation

    Copy Citation Text

    Qingjiang CHEN, Xuanjun WANG, Fei SHAO. Underwater image enhancement based on multiscale residual attention networks[J]. Journal of Applied Optics, 2024, 45(1): 89

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Feb. 24, 2023

    Accepted: --

    Published Online: May. 28, 2024

    The Author Email: WANG Xuanjun (王炫钧(1998—))

    DOI:10.5768/JAO202445.0102003

    Topics