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Chinese Optics Letters, Volume. 19, Issue 4, 041102(2021)

Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area

Junhao Gu1,2, Shuai Sun1,2, Yaokun Xu1,2, Huizu Lin1,2, and Weitao Liu1,2、*
Author Affiliations
  • 1Department of Physics, College of Liberal Arts and Science, National University of Defense Technology, Changsha 410073, China
  • 2Interdisciplinary Center of Quantum Information, National University of Defense Technology, Changsha 410073, China
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    CLP Journals

    [1] Liyu Zhou, Xianwei Huang, Qin Fu, Xuanpengfan Zou, Yanfeng Bai, Xiquan Fu, "Fine edge detection in single-pixel imaging," Chin. Opt. Lett. 19, 121101 (2021)

    [2] Zhe Yang, Kexin Huang, Machi Zhang, Dong Ruan, Junlin Li, "Derivative ghost imaging," Chin. Opt. Lett. 20, 011101 (2022)

    [3] Hao Zhang, Deyang Duan, "Computational ghost imaging with compressed sensing based on a convolutional neural network," Chin. Opt. Lett. 19, 101101 (2021)

    Cited By

    [1] Ikuo Hoshi, Masaki Takehana, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito. Single-pixel imaging for edge images using deep neural networks. Applied Optics, 61, 7793(2022).

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    Junhao Gu, Shuai Sun, Yaokun Xu, Huizu Lin, Weitao Liu, "Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area," Chin. Opt. Lett. 19, 041102 (2021)

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    Paper Information

    Category: Imaging Systems and Image Processing

    Received: Jun. 16, 2020

    Accepted: Oct. 9, 2020

    Posted: Oct. 10, 2020

    Published Online: Jan. 11, 2021

    The Author Email: Weitao Liu (wtliu@nudt.edu.cn)

    DOI:10.3788/COL202119.041102

    Topics

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