• High Power Laser and Particle Beams
  • Vol. 34, Issue 6, 064002 (2022)
Dong Li, Liang Sheng, Yang Li, and Baojun Duan
Author Affiliations
  • State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi’an 710024, China
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    DOI: 10.11884/HPLPB202234.210345 Cite this Article
    Dong Li, Liang Sheng, Yang Li, Baojun Duan. Research on algorithm for restoration of large aperture and thick pinhole imaging based on neural network[J]. High Power Laser and Particle Beams, 2022, 34(6): 064002 Copy Citation Text show less
    Thick pinhole simulation model
    Fig. 1. Thick pinhole simulation model
    Monte Carlo software results
    Fig. 2. Monte Carlo software results
    Diagram of DnCNN network structure
    Fig. 3. Diagram of DnCNN network structure
    Training results
    Fig. 4. Training results
    Wiener filter restoration result
    Fig. 5. Wiener filter restoration result
    L-R algorithm restoration results
    Fig. 6. L-R algorithm restoration results
    10 mm aperture thick pinhole degraded image adds noise
    Fig. 7. 10 mm aperture thick pinhole degraded image adds noise
    Neural network restoration results
    Fig. 8. Neural network restoration results
    aperture/mmaverage RMSE
    516.6067
    1030.4662
    1535.3384
    Table 1. RMSE of test data
    aperture/mmaverage RMSE
    Wiener filteringLucy-Richardsonneural network
    注:加粗字体为每行最优值。
    546.654 648.316 816.781 9
    1048.873 650.161 231.144 2
    1550.613 450.845 536.294 7
    Table 2. Comparison of average RMSE of test data
    Dong Li, Liang Sheng, Yang Li, Baojun Duan. Research on algorithm for restoration of large aperture and thick pinhole imaging based on neural network[J]. High Power Laser and Particle Beams, 2022, 34(6): 064002
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