Chinese Optics Letters, Volume. 23, Issue 9, 090501(2025)

High-quality hologram generation based on a complex-valued hierarchical multi-fusion neural network

Jiahui Fu1, Wenqiang Wan1、*, Yunrui Wang1, and Yanfeng Su2
Author Affiliations
  • 1School of Science, East China Jiaotong University, Nanchang 330013, China
  • 2College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
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    References(36)

    [30] M. Zheng, L. Sun, J. Dong et al. SMFANet: a lightweight self-modulation feature aggregation network for efficient image super-resolution. European Conference on Computer Vison, 375(2024).

    [33] D. P. Kingma, J. Ba. Adam: a method for stochastic optimization. International Conference on Learning Representations, 6980(2014).

    [35] R. Timofte, E. Agustsson, L. GoolVan et al. Ntire 2017 challenge on single image super-resolution: methods and results. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 125(2017).

    [36] E. Agustsson, R. Timofte. Ntire 2017 challenge on single image super-resolution: dataset and study. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 135(2017).

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    Jiahui Fu, Wenqiang Wan, Yunrui Wang, Yanfeng Su, "High-quality hologram generation based on a complex-valued hierarchical multi-fusion neural network," Chin. Opt. Lett. 23, 090501 (2025)

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    Paper Information

    Category: Diffraction, Gratings, and Holography

    Received: Mar. 26, 2025

    Accepted: May. 12, 2025

    Posted: May. 14, 2025

    Published Online: Aug. 21, 2025

    The Author Email: Wenqiang Wan (wqwan_ecjtu@163.com)

    DOI:10.3788/COL202523.090501

    CSTR:32184.14.COL202523.090501

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