• Acta Photonica Sinica
  • Vol. 51, Issue 3, 0311003 (2022)
Zhirun WANG1, Wenjing ZHAO1, Aiping ZHAI1, and Dong WANG1,2,*
Author Affiliations
  • 1College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan 030024,China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control Systems,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan 030024,China
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    DOI: 10.3788/gzxb20225103.0311003 Cite this Article
    Zhirun WANG, Wenjing ZHAO, Aiping ZHAI, Dong WANG. Comparison on Performance of Deep Q Network based Single-pixel Imaging Using Different Orthogonal Transformations[J]. Acta Photonica Sinica, 2022, 51(3): 0311003 Copy Citation Text show less
    Spectrum of “Cameraman” image with the resolution of 64×64
    Fig. 1. Spectrum of “Cameraman” image with the resolution of 64×64
    Flow of DQN-SPI
    Fig. 2. Flow of DQN-SPI
    The reconstructed "Cameraman" images using different down-sampling strategies at different sampling ratios
    Fig. 3. The reconstructed "Cameraman" images using different down-sampling strategies at different sampling ratios
    The spectrum of the reconstructed "Cameraman" images using different down-sampling strategies at different sampling ratios
    Fig. 4. The spectrum of the reconstructed "Cameraman" images using different down-sampling strategies at different sampling ratios
    Reconstruction at low sampling ratios
    Fig. 5. Reconstruction at low sampling ratios
    S(k) curve of DSPI,FSPI,HSPI and KMSPI
    Fig. 6. S(k) curve of DSPI,FSPI,HSPI and KMSPI
    Schematic of the experimental setup
    Fig. 7. Schematic of the experimental setup
    The reconstructed images of "tortoise" using different down-sampling strategies at different sampling ratios
    Fig. 8. The reconstructed images of "tortoise" using different down-sampling strategies at different sampling ratios
    Sampling ratio
    Method5%10%20%40%
    PNSR/dBAZ-HSPI15.0415.8016.4322.06
    DQN-HSPI19.6821.2323.9127.84
    AC-FSPI17.1318.1922.6223.35
    DQN-FSPI20.5422.5625.2428.49
    AZ-DSPI14.7915.4819.2923.28
    DQN-DSPI20.5622.6325.1329.22
    AS-KMSPI11.4013.8817.5923.45
    DQN-KMSPI14.6018.2522.8126.27
    SSIM /%AZ-HSPI45.857.070.582.3
    DQN-HSPI55.565.276.688.2
    AC-FSPI54.169.281.190.2
    DQN-FSPI64.675.785.191.3
    AZ-DSPI45.258.171.881.1
    DQN-DSPI65.474.383.090.7
    AS-KMSPI22.830.044.280.0
    DQN-KMSPI47.660.078.687.0
    Table 1. PSNR and SSIM of the reconstructed “Cameraman” images using different down-sampling strategies
    Sampling ratio
    Method5%10%20%40%
    PNSR/dBAZ-HSPI18.0319.5621.7224.82
    DQN-HSPI19.8721.9524.2027.41
    AC-FSPI17.8520.0022.5126.40
    DQN-FSPI19.6622.0624.7629.08
    AZ-DSPI18.6519.8322.9626.36
    DQN-DSPI20.4522.5925.5330.09
    AS-KMSPI10.4615.2719.0825.13
    DQN-KMSPI15.2118.0718.6325.76
    SSIM/%AZ-HSPI52.065.778.788.6
    DQN-HSPI70.980.186.291.1
    AC-FSPI56.972.283.792.0
    DQN-FSPI73.083.490.896.3
    AZ-DSPI62.173.984.594.2
    DQN-DSPI78.585.692.296.9
    AS-KMSPI32.049.766.792.8
    DQN-KMSPI69.080.083.792.3
    Table 2. PSNR and SSIM of the reconstructed images of "tortoise" using different down-sampling strategies
    Zhirun WANG, Wenjing ZHAO, Aiping ZHAI, Dong WANG. Comparison on Performance of Deep Q Network based Single-pixel Imaging Using Different Orthogonal Transformations[J]. Acta Photonica Sinica, 2022, 51(3): 0311003
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