Electro-Optic Technology Application, Volume. 33, Issue 6, 52(2018)

Analysis of Super-resolution Imaging Technology Based on Compressive Sensing

BI Xiang-li1 and XU Jia-nuo2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [1] [1] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.

    [2] [2] Candés E J, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Trans on Information Theory, 2006, 52(2): 489-509.

    [3] [3] Candés E J. Compressive sampling[C]//In: Proceedings of International Congress of Mathematicians. Zürich, Switzerland: European Mathematical Society Publishing House, 2006: 1433-1452.

    [7] [7] Takhar D, Laska J N, Wakin M B, et al. A new compressive imaging camera architecture using optical-domain compression[J]. Proc of Computational Imaging IV at SPIE Electronic Imaging, 2006.

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    BI Xiang-li, XU Jia-nuo. Analysis of Super-resolution Imaging Technology Based on Compressive Sensing[J]. Electro-Optic Technology Application, 2018, 33(6): 52

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    Paper Information

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    Received: Oct. 1, 2018

    Accepted: --

    Published Online: Mar. 17, 2019

    The Author Email:

    DOI:

    CSTR:32186.14.

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