Chinese Optics Letters, Volume. 23, Issue 4, 041101(2025)

Feature fusion and variational autoencoder based deep coded aperture design for a CUP-VISAR diagnostic system

Miao Li*... Chenyan Wang, Xi Wang**, Lingqiang Zhang, Chaorui Chen, Zhaohui Guo and Xueyin Zhao |Show fewer author(s)
Author Affiliations
  • School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    References(13)

    [9] M. Marquez, Y. Lai, X. Liu et al. Deep-learning supervised snapshot compressive imaging enabled by an end-to-end adaptive neural network. IEEE J. Sel. Top. Signal Process., 16, 688(2022).

    [10] J. Ma, X. Y. Liu, Z. Shou et al. Deep tensor ADMM-Net for snapshot compressive imaging. IEEE/CVF International Conference on Computer Vision (ICCV)(2019).

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    Miao Li, Chenyan Wang, Xi Wang, Lingqiang Zhang, Chaorui Chen, Zhaohui Guo, Xueyin Zhao, "Feature fusion and variational autoencoder based deep coded aperture design for a CUP-VISAR diagnostic system," Chin. Opt. Lett. 23, 041101 (2025)

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    Paper Information

    Category: Imaging Systems and Image Processing

    Received: May. 21, 2024

    Accepted: Oct. 9, 2024

    Published Online: Apr. 11, 2025

    The Author Email: Miao Li (limiao@cqupt.edu.cn), Xi Wang (xiwang@cqupt.edu.cn)

    DOI:10.3788/COL202523.041101

    CSTR:32184.14.COL202523.041101

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