• Acta Photonica Sinica
  • Vol. 54, Issue 2, 0211002 (2025)
Jiaxun LI1, Can LI1,2, Zhengcong DU1, Xaing CHENG1..., Qing LI1 and Lianghua WEN1,*|Show fewer author(s)
Author Affiliations
  • 1School of Electronic Information and Engineering, Yibin University, Yibin 644000, China
  • 2College of Aviation Engineering, Civil Aviation Flight University of China, Guanghan618307, China
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    DOI: 10.3788/gzxb20255402.0211002 Cite this Article
    Jiaxun LI, Can LI, Zhengcong DU, Xaing CHENG, Qing LI, Lianghua WEN. Image Restoration Method Based on Model-Based for Diffraction Imaging System[J]. Acta Photonica Sinica, 2025, 54(2): 0211002 Copy Citation Text show less
    Diffraction imaging elements
    Fig. 1. Diffraction imaging elements
    Multistage imaging characteristics of FZP and theoretical value of diffraction efficiency
    Fig. 2. Multistage imaging characteristics of FZP and theoretical value of diffraction efficiency
    Flow chart of SPGD algorithm
    Fig. 3. Flow chart of SPGD algorithm
    Flow chart of SA
    Fig. 4. Flow chart of SA
    Diffraction efficiency measurement experiment of FZP
    Fig. 5. Diffraction efficiency measurement experiment of FZP
    Experimental diffraction efficiency of FZP
    Fig. 6. Experimental diffraction efficiency of FZP
    Extended target imaging experiment of FZP
    Fig. 7. Extended target imaging experiment of FZP
    The PSF0 of two-order FZP imaging system
    Fig. 8. The PSF0 of two-order FZP imaging system
    Extended target imaging image of FZP
    Fig. 9. Extended target imaging image of FZP
    Extended target image for iterative optimization
    Fig. 10. Extended target image for iterative optimization
    The PSFm obtained by iterative optimization
    Fig. 11. The PSFm obtained by iterative optimization
    The recovery results of SPGD algorithm
    Fig. 12. The recovery results of SPGD algorithm
    The recovery results of SA
    Fig. 13. The recovery results of SA
    Local magnification and comparison of restoration result
    Fig. 14. Local magnification and comparison of restoration result
    Comparison of performance indexes before and after restoration
    Fig. 15. Comparison of performance indexes before and after restoration
    AlgorithmFlowersRiverShoreTree
    SPGD10.837 90.848 00.719 2
    SA10.823 20.829 20.811 3
    Table 1. Structural similarity of PSFm
    MetricsContrastGradientStandard errorNIQE
    Shore2 602.3/2 697.20.055 9/0.056 8917.297 0/924.503 59.577 5/8.827 1
    River2 311.1/2 420.30.029 9/0.030 2646.368 2/654.433 312.354 0/11.425 6
    Tree2 154.1/2 391.70.032 1/0.033 1676.753 1/689.343 610.132 3/9.636 8
    Nebula1 081.9/1 129.40.042 5/0.042 7804.902 0/807.906 910.921 0/10.343 3
    USAF-19513 204.4/3 423.80.071 5/0.075 4977.509 3/1003.859 49.097 5/8.547 4
    Table 2. Performance comparison of images before and after restoration by SPGD algorithm
    MetricsContrastGradientStandard errorNIQE
    Shore2 603.0/2 703.50.054 9/0.055 8912.703 9/920.254 59.695 4/9.025 5
    River2 306.2/2 418.70.029 1/0.029 5637.495 6/646.072 312.383 1/11.476 6
    Tree2 145.6/2 411.70.033 5/0.034 7690.659 2/706.297 610.290 2/9.401 7
    Nebula1 082.4/1 110.30.042 4/0.042 8804.419 6/807.374 110.804 6/10.426 5
    USAF-19513 222.2/3 402.60.071 9/0.075 9977.145 3/1 004.449 58.846 2/8.264 5
    Table 3. Performance comparison of images before and after restoration by SA
    Jiaxun LI, Can LI, Zhengcong DU, Xaing CHENG, Qing LI, Lianghua WEN. Image Restoration Method Based on Model-Based for Diffraction Imaging System[J]. Acta Photonica Sinica, 2025, 54(2): 0211002
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