• Laser & Optoelectronics Progress
  • Vol. 58, Issue 10, 1011032 (2021)
Chang Li, Chao Gao, Jiaqi Shao, Xiaoqian Wang*, and Zhihai Yao**
Author Affiliations
  • College of Science, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    DOI: 10.3788/LOP202158.1011032 Cite this Article Set citation alerts
    Chang Li, Chao Gao, Jiaqi Shao, Xiaoqian Wang, Zhihai Yao. Hadamard Ghost Imaging Based on Compressed Sensing Reconstruction Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011032 Copy Citation Text show less
    Experimental setup for computational ghost imaging
    Fig. 1. Experimental setup for computational ghost imaging
    Original image of five-pointed star
    Fig. 2. Original image of five-pointed star
    CGI reconstructed image of five-pointed star using the correlation algorithm when the reconstruction times is 200 and K=19.5%
    Fig. 3. CGI reconstructed image of five-pointed star using the correlation algorithm when the reconstruction times is 200 and K=19.5%
    CSHGI reconstructed images of five-pointed star using SP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Fig. 4. CSHGI reconstructed images of five-pointed star using SP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    CSHGI reconstructed images of five-pointed star using OMP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Fig. 5. CSHGI reconstructed images of five-pointed star using OMP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Original image of CUST
    Fig. 6. Original image of CUST
    CGI reconstructed image of CUST using the correlation algorithm when the reconstruction times is 1000 and K=24.4%
    Fig. 7. CGI reconstructed image of CUST using the correlation algorithm when the reconstruction times is 1000 and K=24.4%
    CSHGI reconstructed images of CUST using SP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 600 and K=14.6%; (b) the number of iterations is 800 and K=19.5%; (c) the number of iterations is 1000 and K=24.4%
    Fig. 8. CSHGI reconstructed images of CUST using SP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 600 and K=14.6%; (b) the number of iterations is 800 and K=19.5%; (c) the number of iterations is 1000 and K=24.4%
    CSHGI reconstructed images of CUST using OMP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 600 and K=14.6%; (b) the number of iterations is 800 and K=19.5%; (c) the number of iterations is 1000 and K=24.4%
    Fig. 9. CSHGI reconstructed images of CUST using OMP reconstruction algorithm when the light source is Hadamard speckle. (a) The number of iterations is 600 and K=14.6%; (b) the number of iterations is 800 and K=19.5%; (c) the number of iterations is 1000 and K=24.4%
    Schematic of CSHGI experiment
    Fig. 10. Schematic of CSHGI experiment
    Object to be measured in the experiment
    Fig. 11. Object to be measured in the experiment
    CSHGI reconstructed images using the SP reconstruction algorithm with Hadamard speckle in the experiment. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Fig. 12. CSHGI reconstructed images using the SP reconstruction algorithm with Hadamard speckle in the experiment. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    CSHGI reconstructed images using the OMP reconstruction algorithm with Hadamard speckle in the experiment. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Fig. 13. CSHGI reconstructed images using the OMP reconstruction algorithm with Hadamard speckle in the experiment. (a) The number of iterations is 100 and K=9.8%; (b) the number of iterations is 150 and K=14.6%; (c) the number of iterations is 200 and K=19.5%
    Number of iterations50100150200250
    K/%4.99.814.619.524.4
    TSP/s0.3430.5431.5593.0947.594
    TOMP /s0.1720.2660.7341.5632.266
    SSSIM-SP0.25520.35340.50470.68880.7597
    SSSIM-OMP0.22770.33160.43680.68200.7476
    Table 1. Comparison of reconstruction results using two algorithms when the object to be measured is a binary image
    Number of iterations40060080010001200
    K/%9.814.619.524.429.3
    TSP/s79.058267.336391.707666.8901052.539
    TOMP /s16.06241.22182.532157.416254.331
    SSSIM-SP0.54490.69080.85520.92550.9369
    SSSIM-OMP0.51650.67220.79540.85040.8840
    Table 2. Comparison of reconstruction results using two algorithms when the object to be measured is a gray-scale image
    Number of iterations50100150200250
    K/%4.99.814.619.524.4
    TSP/s0.1730.6421.5723.6716.678
    TOMP /s0.1630.3210.7031.4122.310
    SSSIM-SP0.20510.39000.49490.63960.7379
    SSSIM-OMP0.12680.29030.42400.61840.7215
    Table 3. Comparison of reconstruction results of two algorithms in the experiment
    Chang Li, Chao Gao, Jiaqi Shao, Xiaoqian Wang, Zhihai Yao. Hadamard Ghost Imaging Based on Compressed Sensing Reconstruction Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011032
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