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    Journals >Chinese Optics Letters >Volume 21 >Issue 5 >Page 051101 > Article
    • Chinese Optics Letters
    • Vol. 21, Issue 5, 051101 (2023)
    Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging | On the Cover
    Axin Fan1、2, Tingfa Xu1、2、*, Geer Teng1、3, Xi Wang4, Chang Xu1, Yuhan Zhang1、2, Xin Xu1、2, and Jianan Li1、**
    Author Affiliations
  • 1Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401151, China
  • 3Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
  • 4School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
    • show less
    DOI: 10.3788/COL202321.051101 Cite this Article Set citation alerts
    Axin Fan, Tingfa Xu, Geer Teng, Xi Wang, Chang Xu, Yuhan Zhang, Xin Xu, Jianan Li. Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging[J]. Chinese Optics Letters, 2023, 21(5): 051101 Copy Citation Text show less
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    [15] J. M. Bioucas-Dias, M. A. T. Figueiredo. A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration. IEEE Trans. Image Process., 16, 2992(2007).

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    Axin Fan, Tingfa Xu, Geer Teng, Xi Wang, Chang Xu, Yuhan Zhang, Xin Xu, Jianan Li. Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging[J]. Chinese Optics Letters, 2023, 21(5): 051101
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