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    Journals >Chinese Optics Letters >Volume 19 >Issue 4 >Page 041102 > Article
    • Chinese Optics Letters
    • Vol. 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
    • show less
    DOI: 10.3788/COL202119.041102 Cite this Article Set citation alerts
    Junhao Gu, Shuai Sun, Yaokun Xu, Huizu Lin, Weitao Liu. Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area[J]. Chinese Optics Letters, 2021, 19(4): 041102 Copy Citation Text show less
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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[J]. Chinese Optics Letters, 2021, 19(12): 121101

    [2] Zhe Yang, Kexin Huang, Machi Zhang, Dong Ruan, Junlin Li. Derivative ghost imaging[J]. Chinese Optics Letters, 2022, 20(1): 011101

    [3] Hao Zhang, Deyang Duan. Computational ghost imaging with compressed sensing based on a convolutional neural network[J]. Chinese Optics Letters, 2021, 19(10): 101101

    Data from CrossRef

    [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[J]. Chinese Optics Letters, 2021, 19(4): 041102
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