• Acta Optica Sinica
  • Vol. 40, Issue 1, 0111022 (2020)
Yanqiu Guan, Qiurong Yan*, Shengtao Yang, Bing Li, Qianqian Cao, and Zheyu Fang
Author Affiliations
  • Information Engineering School of Nanchang University, Nanchang, Jiangxi 330031, China
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    DOI: 10.3788/AOS202040.0111022 Cite this Article Set citation alerts
    Yanqiu Guan, Qiurong Yan, Shengtao Yang, Bing Li, Qianqian Cao, Zheyu Fang. Single-Photon Compressive Imaging Based on Residual Codec Network[J]. Acta Optica Sinica, 2020, 40(1): 0111022 Copy Citation Text show less
    Experimental optical path of single photon compressive imaging
    Fig. 1. Experimental optical path of single photon compressive imaging
    Process of training and testing with SRIED-Net
    Fig. 2. Process of training and testing with SRIED-Net
    Residual mapping schematic
    Fig. 3. Residual mapping schematic
    Comparison of average SNRs of different algorithms at different MR
    Fig. 4. Comparison of average SNRs of different algorithms at different MR
    Reconstruction results of single photon compressive imaging
    Fig. 5. Reconstruction results of single photon compressive imaging
    Reconstruction results of single photon compressive imaging
    Fig. 6. Reconstruction results of single photon compressive imaging
    Single photon compressive imaging using TVAL3 to reconstruct. (a) Sampling by random Gaussian matrix; (b) sampling by measurement matrix from the first FC layer in SRIED-Net
    Fig. 7. Single photon compressive imaging using TVAL3 to reconstruct. (a) Sampling by random Gaussian matrix; (b) sampling by measurement matrix from the first FC layer in SRIED-Net
    SNRs of reconstruction results after sampling with different measurement matrices
    Fig. 8. SNRs of reconstruction results after sampling with different measurement matrices
    SIMs of reconstruction results after sampling with different measurement matrices
    Fig. 9. SIMs of reconstruction results after sampling with different measurement matrices
    Image nameMethodMR is 0.25MR is 0.10MR is 0.04MR is 0.01
    TVAL324.1222.0019.9415.85
    BarbaraAD_RE-Net22.5121.3119.6718.94
    SRIED-Net24.3023.2822.3720.91
    TVAL327.1023.3720.7315.72
    ParrotAD_RE-Net22.9921.7219.6818.79
    SRIED-Net27.3825.5122.8721.24
    TVAL331.4326.4522.2216.90
    HouseAD_RE-Net25.4823.8720.5719.87
    SRIED-Net29.9727.9324.9322.17
    TVAL328.5623.8420.4015.32
    BoatsAD_RE-Net23.7022.1119.1918.58
    SRIED-Net27.8325.9323.4820.84
    TVAL322.6218.5516.6013.64
    FingerprintAD_RE-Net18.8717.7415.7315.46
    SRIED-Net25.0022.6619.4816.02
    TVAL323.7418.7215.8912.42
    FlinstonesAD_RE-Net17.9516.9814.7214.37
    SRIED-Net24.0321.6918.7516.01
    TVAL325.7321.7718.6316.06
    CameramanAD_RE-Net20.6919.6418.0817.48
    SRIED-Net24.8323.5721.5219.28
    TVAL326.1922.1019.1015.13
    Mean PSNRAD_RE-Net21.7420.4818.2317.64
    SRIED-Net25.9224.3721.9119.50
    Table 1. SNR of reconstruction results of different algorithms at different MRdB
    Yanqiu Guan, Qiurong Yan, Shengtao Yang, Bing Li, Qianqian Cao, Zheyu Fang. Single-Photon Compressive Imaging Based on Residual Codec Network[J]. Acta Optica Sinica, 2020, 40(1): 0111022
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