• Laser & Optoelectronics Progress
  • Vol. 59, Issue 18, 1810011 (2022)
Guohao Xu, Yuanyuan Liu*, and Lu Zhu
Author Affiliations
  • School of Information Engineering, East China Jiaotong University, Nanchang 330013, Jangxi, China
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    DOI: 10.3788/LOP202259.1810011 Cite this Article Set citation alerts
    Guohao Xu, Yuanyuan Liu, Lu Zhu. Millimeter-Wave Radiation Image Deblurring Based on Residual Recursive Network[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810011 Copy Citation Text show less
    RSRN structure
    Fig. 1. RSRN structure
    Hierarchical blur extraction module structure
    Fig. 2. Hierarchical blur extraction module structure
    Structure of encoder LE
    Fig. 3. Structure of encoder LE
    Internal structure of residual block (Res)
    Fig. 4. Internal structure of residual block (Res)
    Structure of decoder LD
    Fig. 5. Structure of decoder LD
    Internal structure of MSEB module
    Fig. 6. Internal structure of MSEB module
    Some millimeter wave radiation image samples in dataset
    Fig. 7. Some millimeter wave radiation image samples in dataset
    Blur effect display
    Fig. 8. Blur effect display
    Visual comparison
    Fig. 9. Visual comparison
    DatasetOriginal datasetPreprocessed dataset
    Number of images in training set29795958
    Number of images in test set330660
    Total number of images33096618
    Table 1. Number of images in training set and test set
    MethodPSNRSSIMParam /MB
    SRN[13]39.490.987383.76
    MTRNN[15]39.230.987372.64
    SIUN3235.770.9819124.5
    MPRNet3335.670.9800720.1
    Proposed method39.690.987742.56
    Table 2. Comparison of performance of different methods
    Guohao Xu, Yuanyuan Liu, Lu Zhu. Millimeter-Wave Radiation Image Deblurring Based on Residual Recursive Network[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810011
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