Infrared and Laser Engineering, Volume. 51, Issue 10, 20220018(2022)

Image deblurring via multi-scale feature fusion and multi-input multi-output encoder-decoder

Qian Zhao, Dongming Zhou, Hao Yang, Changcheng Wang, and Miao Li
Author Affiliations
  • School of Information Science & Engineering, Yunnan University, Kunming 650504, China
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    Figures & Tables(14)
    Network architecture of algorithm
    Multi-scale feature extraction module
    Feature attention module
    Progressive multi-scale feature fusion module
    Comparison of the visual results of each model on the GoPro dataset
    Comparison of the visual results of each model on the HIDE dataset
    Comparison of the visual results of each model on the RealBlur dataset
    Analysis of the number of residual blocks
    Attention map visualization for FAM
    Comparison of visual results of target detection
    • Table 1. Test results on various datasets

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      Table 1. Test results on various datasets

      MethodGoProHIDERealBlur-RRealBlur-J
      PSNRSSIMPSNRSSIMPSNRSSIMPSNRSSIM
      Xu et al.[9]22.850.81721.780.72331.630.87224.880.822
      Whyte et al.[8]24.470.84322.810.73530.560.85425.920.844
      Pan et al.[12]24.730.87623.920.76332.920.89125.790.854
      DeblurGAN-v1[21]25.640.85923.960.80934.280.93227.010.865
      Nah et al.[5]27.830.91525.730.87433.920.94727.110.876
      DeblurGAN-v2[22]29.080.91827.510.88434.160.94227.170.877
      SRN[19]30.240.93428.360.90334.240.93727.080.876
      Gao et al.[20]30.960.94229.10.91334.060.94326.820.868
      MT-RNN[26]31.120.94429.150.91734.190.9526.740.869
      DBGAN[25]31.180.94628.940.91532.990.92624.870.821
      DMPHN[23]31.390.94729.10.91634.120.94826.630.865
      Ours31.730.95129.390.92334.350.95127.190.878
    • Table 2. Ablation study on different number of input and output numbers of encoder-decoder

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      Table 2. Ablation study on different number of input and output numbers of encoder-decoder

      NPSNRSSIM
      131.220.944
      231.580.949
      331.730.951
      431.850.952
    • Table 3. Ablation study on different number of residual blocks

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      Table 3. Ablation study on different number of residual blocks

      M481216202428
      PSNR29.9730.6331.2131.4231.7331.7531.76
      SSIM0.9330.9390.9440.9480.9510.9510.951
    • Table 4. Ablation study with different module combi-nations

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      Table 4. Ablation study with different module combi-nations

      ModuleCombination of different modules
      MPFMSumConcatenate
      MFEM×
      FAM×
      PSNR31.7331.5731.6531.6431.7
      SSIM0.9510.9450.9480.9480.95
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    Qian Zhao, Dongming Zhou, Hao Yang, Changcheng Wang, Miao Li. Image deblurring via multi-scale feature fusion and multi-input multi-output encoder-decoder[J]. Infrared and Laser Engineering, 2022, 51(10): 20220018

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    Paper Information

    Category: Image processing

    Received: Jan. 6, 2022

    Accepted: --

    Published Online: Jan. 6, 2023

    The Author Email:

    DOI:10.3788/IRLA20220018

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