• Acta Optica Sinica
  • Vol. 38, Issue 7, 0711001 (2018)
Yi Chen1、2、*, Xiang Fan1, Yubao Cheng1, Zhengdong Cheng1, and Zhenyu Liang1
Author Affiliations
  • 1 State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei, Anhui 230037, China
  • 2 Key Laboratory of Photoelectric Information Control and Safety Technology, Tianjin 300450, China
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    DOI: 10.3788/AOS201838.0711001 Cite this Article Set citation alerts
    Yi Chen, Xiang Fan, Yubao Cheng, Zhengdong Cheng, Zhenyu Liang. Compressive Sensing Ghost Imaging Based on Neighbor Similarity[J]. Acta Optica Sinica, 2018, 38(7): 0711001 Copy Citation Text show less
    Experimental setup of NSGI
    Fig. 1. Experimental setup of NSGI
    Flowchart of NSGI algorithm
    Fig. 2. Flowchart of NSGI algorithm
    Numerical simulation results of three images under different sampling rates
    Fig. 3. Numerical simulation results of three images under different sampling rates
    Relationship between (a) PSNR, (b) imaging time and sampling rate
    Fig. 4. Relationship between (a) PSNR, (b) imaging time and sampling rate
    Experimental results. (a) Original image; (b) NSGI; (C) CGI-OMP; (d) CGI-IHT; (e) CGI-IRLS; (f) CGI-CoSaMP
    Fig. 5. Experimental results. (a) Original image; (b) NSGI; (C) CGI-OMP; (d) CGI-IHT; (e) CGI-IRLS; (f) CGI-CoSaMP
    ImageSampling ratePSNR /dBt /s
    NSGICGI-OMPNSGICGI-OMP
    Lena0.160.6265.290.17930.1811
    0.262.4068.810.30180.4666
    0.365.3969.670.53141.8505
    House0.152.2855.710.15980.1319
    0.254.0459.970.29500.3588
    0.357.1661.020.569908969
    Bridge0.150.1051.330.19360.2211
    0.253.1555.260.34000.4026
    0.357.4057.150.66592.4670
    Table 1. Performance statistics of algorithms under different sampling rates
    AlgorithmPSNR /dBt /s
    NSGI61.211.2408
    CGI-OMP55.230.5458
    CGI-IHT53.130.6971
    CGI-IRLS59.34141.4051
    CGI-CoSaMP55.713.0253
    Table 2. Comparison of running performance of different algorithms
    Yi Chen, Xiang Fan, Yubao Cheng, Zhengdong Cheng, Zhenyu Liang. Compressive Sensing Ghost Imaging Based on Neighbor Similarity[J]. Acta Optica Sinica, 2018, 38(7): 0711001
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