• Laser & Optoelectronics Progress
  • Vol. 58, Issue 10, 1011029 (2021)
Yangdi Hu1、*, Zhengdong Cheng1, Bo Zeng2, and Yong Yang2
Author Affiliations
  • 1Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei, Anhui 230037, China
  • 2Troops 32256, Chinese People's Liberation Army, Guilin, Guangxi 541000, China
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    DOI: 10.3788/LOP202158.1011029 Cite this Article Set citation alerts
    Yangdi Hu, Zhengdong Cheng, Bo Zeng, Yong Yang. Computational Ghost Imaging in Smoke Media[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011029 Copy Citation Text show less
    CGI system for penetrating scattering media
    Fig. 1. CGI system for penetrating scattering media
    Experimental results of CGI penetrating scattering medium[10,12]. (a) Ni≈0; (b) Ni≠0; (c) degraded patterns; (d) undegraded patterns
    Fig. 2. Experimental results of CGI penetrating scattering medium[10,12]. (a) Ni≈0; (b) Ni≠0; (c) degraded patterns; (d) undegraded patterns
    Transmission path of photon in cylindrical scattering medium
    Fig. 3. Transmission path of photon in cylindrical scattering medium
    Schematic diagram of CGI combined with Monte Carlo model
    Fig. 4. Schematic diagram of CGI combined with Monte Carlo model
    Lena simulation results at different uniform mass concentrations of smoke (0.1, 0.2, 0.3, 0.4, 0.5 g·m-3). (a) PSF of smoke at different concentrations; (b) results of TI; (c) reconstruction images of CGI
    Fig. 5. Lena simulation results at different uniform mass concentrations of smoke (0.1, 0.2, 0.3, 0.4, 0.5 g·m-3). (a) PSF of smoke at different concentrations; (b) results of TI; (c) reconstruction images of CGI
    Relationship between reconstruction image quality and smoke mass concentration in three cases
    Fig. 6. Relationship between reconstruction image quality and smoke mass concentration in three cases
    Smoke with uneven concentration distribution at some heights. (a) z=2.5 m; (b) z=5 m; (c) z=10 m;(d) z=20 m
    Fig. 7. Smoke with uneven concentration distribution at some heights. (a) z=2.5 m; (b) z=5 m; (c) z=10 m;(d) z=20 m
    Lena simulation results at different uneven mass concentrations of smoke(20, 30, 50, 100 g·s-1). (a) PSF of smoke; (b) TI results; (c) CGI results
    Fig. 8. Lena simulation results at different uneven mass concentrations of smoke(20, 30, 50, 100 g·s-1). (a) PSF of smoke; (b) TI results; (c) CGI results
    Results of CGI at time-varying concentrations. (a) Random variation range (0.9,1); (b) random variation range (0.99,1); (c) random variation range (0.999,1); (d) random variation range (0.9999,1)
    Fig. 9. Results of CGI at time-varying concentrations. (a) Random variation range (0.9,1); (b) random variation range (0.99,1); (c) random variation range (0.999,1); (d) random variation range (0.9999,1)
    ParameterValueParameterValue
    Target plane z /m20Particle radius r /μm0.4
    Anisotropic factor g0.8Scattering coefficient us / (cm2·g-1)1.2
    Wavelength λ/m532Absorption coefficient ua / (cm2·g-1)0.25
    Tracking photon number N107Energy decay threshold T10-5
    Table 1. Some parameters used in simulation
    Yangdi Hu, Zhengdong Cheng, Bo Zeng, Yong Yang. Computational Ghost Imaging in Smoke Media[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011029
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