Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041019(2020)

Computational Ghost Imaging Based on Orthogonal Sinusoidal Speckle

Guoqing Yan, Fengbao Yang*, Xiaoxia Wang, and Yong Tao
Author Affiliations
  • College of Information and Communication Engineering, North University of China, Taiyuan, Shanxi 030051, China
  • show less
    Figures & Tables(12)
    Schematic of CGI scheme
    Reconstruction results. (a) Original image; (b) reconstruction result of SGI; (c) reconstruction result using only sinusoidal speckle; (d) reconstruction result using only cosine speckle
    Principle of image generation by using orthogonal sinusoidal speckle. (a) 45° sinusoidal speckle; (b) 135° sinusoidal speckle; (c) speckle after superposition
    Reconstruction results of different gray targets obtained by proposed algorithm under different upper frequency limits. (a) Objects to be imaged; (b) 20 rad/rotation (1849 speckles); (c) 22 rad/rotation (2209 speckles); (d) 24 rad/rotation (2601 speckles); (e) 26 rad/rotation (3025 speckles); (f) 28 rad/rotation (3481 speckles); (g) 30 rad/rotation (4096 speckles)
    Performance parameter curves of different gray-scale target reconstruction results under different upper frequency limits. (a) PSNR; (b) SSIM
    Multi-slit diagonal stripe patterns with different widths between black and white grids and their reconstructed results. (a) 2 pixel; (b) 4 pixel; (c) 6 pixel; (d) 8 pixel; (e) 10 pixel; (f) 12 pixel
    PSNR curve of reconstructed image with different widths of multi-slit diagonal stripes
    Imaging results of various reconstruction methods. (a) Objects to be imaged; (b) TGI; (c) DGI; (d) HCGI; (e) proposed method
    Imaging results of SGI and proposed method
    • Table 1. Performance comparison of four imaging methods for “rice”

      View table

      Table 1. Performance comparison of four imaging methods for “rice”

      EvaluationindexTGI(Gaussian)DGI(Gaussian)HCGI(Hadamard)Proposedalgorithm
      PSNR63.037565.693962.988567.4625
      SSIM0.13910.31920.63990.8287
    • Table 2. Performance comparison of four imaging methods for “camera-man”

      View table

      Table 2. Performance comparison of four imaging methods for “camera-man”

      EvaluationindexTGI(Gaussian)DGI(Gaussian)HCGI(Hadamard)Proposedalgorithm
      PSNR58.413459.137062.230365.2461
      SSIM0.18570.26280.46050.7088
    • Table 3. Performance comparison of four imaging methods for “moon”

      View table

      Table 3. Performance comparison of four imaging methods for “moon”

      EvaluationindexTGI(Gaussian)DGI(Gaussian)HCGI(Hadamard)Proposed
      PSNR57.647158.636763.160964.4823
      SSIM0.05690.08080.49210.6750
    Tools

    Get Citation

    Copy Citation Text

    Guoqing Yan, Fengbao Yang, Xiaoxia Wang, Yong Tao. Computational Ghost Imaging Based on Orthogonal Sinusoidal Speckle[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041019

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Sep. 18, 2019

    Accepted: Sep. 27, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Yang Fengbao (yfengb@163.com)

    DOI:10.3788/LOP57.041019

    Topics