• Laser & Optoelectronics Progress
  • Vol. 57, Issue 20, 201106 (2020)
Yangdi Hu*, Zhengdong Cheng, Zhenyu Liang, and Xiang Zhai
Author Affiliations
  • Key Laboratory of Pulsed Power Laser Technology, College of Electronic Engineering, National University of Defense Technology, Hefei, Anhui 230037, China
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    DOI: 10.3788/LOP57.201106 Cite this Article Set citation alerts
    Yangdi Hu, Zhengdong Cheng, Zhenyu Liang, Xiang Zhai. Computational Ghost Imaging Using a Dynamic Scattering Medium by the Point-by-Point Compensation Method[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201106 Copy Citation Text show less
    CGI system for penetrating scattering media
    Fig. 1. CGI system for penetrating scattering media
    Measurement matrix projected in PPC method
    Fig. 2. Measurement matrix projected in PPC method
    Fitting of the first 20 light intensity values with PPC method. (a) Light intensity with slow change of concentration of scattering media; (b) light intensity with steep change of concentration of scattering media
    Fig. 3. Fitting of the first 20 light intensity values with PPC method. (a) Light intensity with slow change of concentration of scattering media; (b) light intensity with steep change of concentration of scattering media
    Change of factor α in the dynamic scattering media
    Fig. 4. Change of factor α in the dynamic scattering media
    Intensity measurements after scattering media in different states. (a) Through static scattering media; (b) through dynamic scattering media
    Fig. 5. Intensity measurements after scattering media in different states. (a) Through static scattering media; (b) through dynamic scattering media
    Reconstructed images through different scattering media. (a) Through static scattering media; (b) through dynamic scattering media
    Fig. 6. Reconstructed images through different scattering media. (a) Through static scattering media; (b) through dynamic scattering media
    Image restoration based on the PPC method. (a) Corrected measurements using PPC method; (b) reconstructed image using PPC method
    Fig. 7. Image restoration based on the PPC method. (a) Corrected measurements using PPC method; (b) reconstructed image using PPC method
    Comparison of reconstructed images with different measurement times. (a) 1000; (b) 3000; (c) 5000; (d) 8000
    Fig. 8. Comparison of reconstructed images with different measurement times. (a) 1000; (b) 3000; (c) 5000; (d) 8000
    PSNR values under PPC and TVAL3 versus the total measurement times
    Fig. 9. PSNR values under PPC and TVAL3 versus the total measurement times
    Reconstructed images under multiplexing noise with different variances. (a) Reconstructed images by PPC method; (b) reconstructed images by TVAL3 method
    Fig. 10. Reconstructed images under multiplexing noise with different variances. (a) Reconstructed images by PPC method; (b) reconstructed images by TVAL3 method
    Reconstructed images under additive noise with different fluctuation levels. (a) Reconstructed images by PPC method; (b) reconstructed images by TVAL3 method
    Fig. 11. Reconstructed images under additive noise with different fluctuation levels. (a) Reconstructed images by PPC method; (b) reconstructed images by TVAL3 method
    Yangdi Hu, Zhengdong Cheng, Zhenyu Liang, Xiang Zhai. Computational Ghost Imaging Using a Dynamic Scattering Medium by the Point-by-Point Compensation Method[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201106
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