High Power Laser and Particle Beams, Volume. 36, Issue 7, 079002(2024)

Edge quality improvement of ghost imaging based on convolutional neural network

Hangyu Zhang... Yi Wu, Shuai Zhao and Guoying Feng* |Show fewer author(s)
Author Affiliations
  • Institute of Laser and Micro/Nano Engineering, College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
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    References(25)

    [3] [3] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 2008, 78(6): 061802(R).

    [12] Mao Tianyi, Chen Qian, He Weiji, et al. Speckle-shifting ghost imaging[J]. IEEE Photonics Journal, 8, 6900810(2016).

    [24] [24] Creswell A, Arulkumaran K, Bharath A A. On denoising autoencoders trained to minimise binary crossentropy[DBOL]. arXiv preprint arXiv: 1708.08487, 2017.

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    Hangyu Zhang, Yi Wu, Shuai Zhao, Guoying Feng. Edge quality improvement of ghost imaging based on convolutional neural network[J]. High Power Laser and Particle Beams, 2024, 36(7): 079002

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    Paper Information

    Category: Advanced Interdisciplinary Science

    Received: Jan. 22, 2024

    Accepted: May. 9, 2024

    Published Online: Jun. 21, 2024

    The Author Email: Feng Guoying (guoing_feng@scu.edu.cn)

    DOI:10.11884/HPLPB202436.240030

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