Acta Optica Sinica, Volume. 41, Issue 17, 1710001(2021)

Photon Counting Integral Imaging Based on Lucy-Richardson Algorithm

Shangru Li and Peng Ge*
Author Affiliations
  • School of Physics and Optoelectronics, South China University of Technology, Guangzhou, Guangdong 510641, China
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    Figures & Tables(10)
    Principle of our algorithm. (a) Collection of element images; (b) photon counting image; (c) CMLE+LR algorithm; (d) reconstructed image
    Element image under normal lighting. (a) Overall element image; (b) single element image
    Reconstructed images at different depths. (a) d=500 mm; (b) d=450 mm
    Simulation process of the photon counting element image
    Photon counting element images under different conditions. (a) Np=100; (b) Np=300; (c) Np=500; (d) Np=1000; (e) Np=104; (f) Np=105
    PSNR of different iterations
    Element images obtained by different algorithms. (a) MLE; (b) CMLE; (c) MLE+LR; (d) CMLE+LR
    Reconsituted images of different algorithms. (a) MLE; (b) CMLE; (c) MLE+LR; (d) CMLE+LR
    Reconstruction results of teapot and tree by different algorithms. (a) MLE; (b) CMLE; (c) MLE+LR; (d) CMLE+LR
    • Table 1. PSNR of reconstructed images using different algorithmsunit: dB

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      Table 1. PSNR of reconstructed images using different algorithmsunit: dB

      AlgorithmMLECMLEMLE+LRCMLE+LR
      Car20.16120.73421.25221.803
      Tea22.13222.43723.08423.548
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    Shangru Li, Peng Ge. Photon Counting Integral Imaging Based on Lucy-Richardson Algorithm[J]. Acta Optica Sinica, 2021, 41(17): 1710001

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    Paper Information

    Category: Image Processing

    Received: Feb. 25, 2021

    Accepted: Mar. 23, 2021

    Published Online: Sep. 3, 2021

    The Author Email: Ge Peng (scpge@scut.edu.cn)

    DOI:10.3788/AOS202141.1710001

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