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Chinese Optics Letters, Volume. 19, Issue 10, 101101(2021)

Computational ghost imaging with compressed sensing based on a convolutional neural network

Hao Zhang1 and Deyang Duan1,2、*
Author Affiliations
  • 1School of Physics and Physical Engineering, Qufu Normal University, Qufu 273165, China
  • 2Shandong Provincial Key Laboratory of Laser Polarization and Information Technology, Research Institute of Laser, Qufu Normal University, Qufu 273165, China
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    Article index updated: Feb. 4, 2025

    Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.
    The article is cited by 20 article(s) from Web of Science.
    The article is cited by 4 article(s) CLP online library. (Some content might be in Chinese.)
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    Hao Zhang, Deyang Duan, "Computational ghost imaging with compressed sensing based on a convolutional neural network," Chin. Opt. Lett. 19, 101101 (2021)

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    Paper Information

    Category: Imaging Systems and Image Processing

    Received: Jan. 4, 2021

    Accepted: Mar. 26, 2021

    Posted: Mar. 29, 2021

    Published Online: Aug. 16, 2021

    The Author Email: Deyang Duan (duandy2015@qfnu.edu.cn)

    DOI:10.3788/COL202119.101101

    Topics

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