Photonics Research, Volume. 9, Issue 2, B18(2021)

Deep plug-and-play priors for spectral snapshot compressive imaging

Siming Zheng1,2、†, Yang Liu3、†, Ziyi Meng4, Mu Qiao5, Zhishen Tong6,7, Xiaoyu Yang1,2, Shensheng Han6,7, and Xin Yuan8、*
Author Affiliations
  • 1Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 4Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 5New Jersey Institute of Technology, Newark, New Jersey 07102, USA
  • 6Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 7Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 8Nokia Bell Labs, Murray Hill, New Jersey 07974, USA
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    CLP Journals

    [1] Lishun Wang, Zongliang Wu, Yong Zhong, Xin Yuan. Snapshot spectral compressive imaging reconstruction using convolution and contextual Transformer[J]. Photonics Research, 2022, 10(8): 1848

    [2] Li Gao, Yang Chai, Darko Zibar, Zongfu Yu. Deep learning in photonics: introduction[J]. Photonics Research, 2021, 9(8): DLP1

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    Siming Zheng, Yang Liu, Ziyi Meng, Mu Qiao, Zhishen Tong, Xiaoyu Yang, Shensheng Han, Xin Yuan. Deep plug-and-play priors for spectral snapshot compressive imaging[J]. Photonics Research, 2021, 9(2): B18

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Oct. 5, 2020

    Accepted: Nov. 23, 2020

    Published Online: Jan. 22, 2021

    The Author Email: Xin Yuan (xyuan@bell-labs.com)

    DOI:10.1364/PRJ.411745

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