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Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2211003(2023)

Computational Ghost Imaging Method Based on Discrete W Transform

Qifei Zhang1, Rui Sun2, Yi Ding2、*, Jiaye Kuang2, and Baolin Sun1
Author Affiliations
  • 1School of Information Engineering, Hubei University of Economics, Wuhan 430205, Hubei, China
  • 2Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, Guangdong, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (15)
    References (38)
    Cited By (1)
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    Figures & Tables(14)
    Comparison of two sets of illumination patterns (M=N=128). (a) Patterns generated from equation (8); (b) patterns generated from equation (9)

    Fig. 1. Comparison of two sets of illumination patterns (M=N=128). (a) Patterns generated from equation (8); (b) patterns generated from equation (9)

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    Procedure of computational ghost imaging based on DWT

    Fig. 2. Procedure of computational ghost imaging based on DWT

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    Comparison of reconstruction results for the USAF image by different methods

    Fig. 3. Comparison of reconstruction results for the USAF image by different methods

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    Reconstruction results for the USAF image under different noise levels

    Fig. 4. Reconstruction results for the USAF image under different noise levels

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    Reconstructed images of grayscale and binary DWT-CGI under different sampling ratios

    Fig. 5. Reconstructed images of grayscale and binary DWT-CGI under different sampling ratios

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    RPSNR values of grayscale and binary DWT-CGI under different sampling ratios

    Fig. 6. RPSNR values of grayscale and binary DWT-CGI under different sampling ratios

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    Comparison of reconstruction results for the USAF image by different methods

    Fig. 7. Comparison of reconstruction results for the USAF image by different methods

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    Schematic of the experimental system

    Fig. 8. Schematic of the experimental system

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    Reconstruction results for the USAF and toy pig by DCT-CGI and DWT-CGI

    Fig. 9. Reconstruction results for the USAF and toy pig by DCT-CGI and DWT-CGI

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    Reconstruction results for the USAF and toy duck by DCT-CGI and DWT-CGI

    Fig. 10. Reconstruction results for the USAF and toy duck by DCT-CGI and DWT-CGI

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    • Table 1. Quantitative comparison results for the USAF image by different methods

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      Table 1. Quantitative comparison results for the USAF image by different methods

      IndexMethodSampling ratio /%
      5101520
      RPSNR /dBDCT-CGI13.0315.7517.7219.38
      FCGI12.7814.9616.9818.60
      DWT-CGI13.1315.9317.7919.53
      MSSIM /%DCT-CGI29.5951.0364.7072.83
      FCGI30.4750.1463.7172.80
      DWT-CGI30.1150.7165.4773.23

    • Table 2. Comparison of image reconstruction time by different methods

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      Table 2. Comparison of image reconstruction time by different methods

      Sampling ratioDWT-CGIDCT-CGIFCGI
      5%0.0010710.0015750.009257
      10%0.0010790.0020200.017320
      15%0.0016260.0024470.019452
      20%0.0012450.0019190.015926

    • Table 3. Quantitative comparison results for the USAF image under different noise levels

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      Table 3. Quantitative comparison results for the USAF image under different noise levels

      IndexMethodRSNR /dB
      0-10-20-30
      RPSNR /dBDCT-CGI18.0615.269.987.22
      FCGI18.9414.8310.427.26
      DWT-CGI19.5115.7210.537.62
      MSSIM /%DCT-CGI46.9941.8725.9311.11
      FCGI48.1341.9328.2713.73
      DWT-CGI48.7942.7227.0212.08

    • Table 4. Quantitative comparison results for the USAF image by different methods

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      Table 4. Quantitative comparison results for the USAF image by different methods

      IndexMethodSampling ratio /%
      5101520
      DCT-CGI12.9915.6017.3818.76
      RPSNR /dBFCGI12.7514.8716.7618.18
      DWT-CGI13.0915.7817.4518.90
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    Qifei Zhang, Rui Sun, Yi Ding, Jiaye Kuang, Baolin Sun. Computational Ghost Imaging Method Based on Discrete W Transform[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2211003

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 30, 2023

    Accepted: Mar. 6, 2023

    Published Online: Nov. 16, 2023

    The Author Email: Yi Ding (dingyi1688@126.com)

    DOI:10.3788/LOP230545

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology