Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Acta Photonica Sinica, Volume. 49, Issue 6, 0610002(2020)

Computational Ghost Imaging Method Based on Convolutional Neural Network

Wei FENG1...2, Xiao-dong ZHAO1, Gui-ming WU1, Zhong-hui YE1 and Da-xing ZHAO1,* |Show fewer author(s)
Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
  • 2Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan 430068, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (2)
    References (21)
    Tools
    Paper Information
    Topics
    Figures & Tables(9)
    Principle schematic

    Fig. 1. Principle schematic

    Download full size
    View in Article
    Flow chart of algorithm

    Fig. 2. Flow chart of algorithm

    Download full size
    View in Article
    Convolutional neural network model

    Fig. 3. Convolutional neural network model

    Download full size
    View in Article
    Comparison of numerical simulation results of different methods

    Fig. 4. Comparison of numerical simulation results of different methods

    Download full size
    View in Article
    Experimental setup

    Fig. 5. Experimental setup

    Download full size
    View in Article
    Simulated speckle and actual speckle

    Fig. 6. Simulated speckle and actual speckle

    Download full size
    View in Article
    Comparison of experimental actual effects of different methods

    Fig. 7. Comparison of experimental actual effects of different methods

    Download full size
    View in Article
    PSNR and SSIM at different sampling times

    Fig. 8. PSNR and SSIM at different sampling times

    Download full size
    View in Article

    • Table 1. Average running time of each algorithm for a single test image at different sampling times (unit: s)

      View table
      View in Article

      Table 1. Average running time of each algorithm for a single test image at different sampling times (unit: s)

      CSCGICNN-CGI
      β=0.083.159 00.063 3
      β=0.169.728 70.058 9
    Tools

    Get Citation

    Copy Citation Text

    Wei FENG, Xiao-dong ZHAO, Gui-ming WU, Zhong-hui YE, Da-xing ZHAO. Computational Ghost Imaging Method Based on Convolutional Neural Network[J]. Acta Photonica Sinica, 2020, 49(6): 0610002

    Download Citation

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

    Category: Image Processing

    Received: Dec. 16, 2019

    Accepted: Mar. 2, 2020

    Published Online: Nov. 26, 2020

    The Author Email: ZHAO Da-xing (zdx007@126.com)

    DOI:10.3788/gzxb20204906.0610002

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology