Chinese Optics Letters, Volume. 15, Issue 12, 121101(2017)

Double-threshold technique for achieving denoising in compressive imaging applications

Chao Wang1,2,3, Xuri Yao3、*, and Qing Zhao1
Author Affiliations
  • 1Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China
  • 2China Academy of Engineering Physics, Mianyang 621900, China
  • 3Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
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    References(32)

    [18] Y. Li, Q. Li, J. Hu, Y. Zhao. Chin. Opt. Lett., 13, S11101(2015).

    [19] B. Sun, M. P. Edgar, R. Bowman, L. E. Vittert, S. Welsh, A. Bowman, M. J. Padgett. Computational Optical Sensing and Imaging Conference, CTu1C-4(2013).

    [32] C. B. Li. An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing(2010).

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    Chao Wang, Xuri Yao, Qing Zhao. Double-threshold technique for achieving denoising in compressive imaging applications[J]. Chinese Optics Letters, 2017, 15(12): 121101

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    Paper Information

    Category: Imaging Systems

    Received: Sep. 15, 2017

    Accepted: Sep. 22, 2017

    Published Online: Jul. 18, 2018

    The Author Email: Xuri Yao (yaoxuri@aliyun.com)

    DOI:10.3788/COL201715.121101

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