Journal of Infrared and Millimeter Waves, Volume. 43, Issue 6, 847(2024)

Deep plug-and-play self-supervised neural networks for spectral snapshot compressive imaging

Xing-Yu ZHANG1,3, Shou-Zheng ZHU1,3, Tian-Shu ZHOU1,3, Hong-Xing QI1,3, Jian-Yu WANG1,2,3, Chun-Lai LI1,2,3、**, and Shi-Jie LIU1,3、*
Author Affiliations
  • 1School of Physics and Optoeletronic Engineering,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China
  • 2Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
  • 3University of Chinese Academy of Sciences,Beijing 100049,China
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    References(31)

    [1] Jian-Yu Wang, Rong Shu, Yin-nian Liu et al. Science Press.

    [2] P Z Wu. Characteristics and applications of satellite-borne hyperspectral imaging spectrometer. Remote Sensing of Land Resources, 10(1999).

    [3] Z Y Ouyang. Ouyang Ziyuan: Scientific objectives of China's lunar exploration project. Proceedings of the Chinese Academy of Sciences.

    [4] X Dun, Q Fu, H T Li et al. Advances in the frontiers of computational imaging. Chinese Journal of Image Graphics, 27, 37(2022).

    [22] Z Chen, J Cheng. Proximal gradient descent unfolding dense-spatial spectral-attention transformer for compressive spectral imaging. arXiv preprint(2023).

    [29] J Lehtinen, J Munkberg, J Hasselgren et al. Noise2Noise: learning image restoration without clean data. arXiv e-prints, 2018(1803).

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    Xing-Yu ZHANG, Shou-Zheng ZHU, Tian-Shu ZHOU, Hong-Xing QI, Jian-Yu WANG, Chun-Lai LI, Shi-Jie LIU. Deep plug-and-play self-supervised neural networks for spectral snapshot compressive imaging[J]. Journal of Infrared and Millimeter Waves, 2024, 43(6): 847

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    Paper Information

    Category: Interdisciplinary Research on Infrared Science

    Received: Feb. 29, 2024

    Accepted: --

    Published Online: Dec. 13, 2024

    The Author Email: LI Chun-Lai (lichunlai@mail.sitp.ac.cn), LIU Shi-Jie (liushijie@ucas.ac.cn)

    DOI:10.11972/j.issn.1001-9014.2024.06.016

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