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Journal of Infrared and Millimeter Waves, Volume. 40, Issue 5, 685(2021)

High-precision algorithm for restoration of spectral imaging based on joint solution of double sparse domains

Shi-Jie LIU1,2, Chun-Lai LI1、*, Rui XU1, Guo-Liang TANG1,2, Bing WU1,2, Yan XU1,2,4, and Jian-Yu WANG1,2,3、**
Author Affiliations
  • 1Key Laboratory of Space Active Opto-Electronics Technology，Shanghai Institute of Technical Physics，Chinese Academy of Sciences，Shanghai 200083，China
  • 2University of Chinese Academy of Sciences，Beijing 100049，China
  • 3Hangzhou Institute for Advanced Study，University of Chinese Academy of Sciences，Hangzhou，310024China
  • 4School of Information Science&Techno1ogy，ShanghaiTech University，Shanghai 200020，China
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    [1] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

    [2] Candes E J, Wakin M B. An Introduction to Compressive Sampling[J]. IEEE Signal Processing Magazine, 25, 21-30(2008).

    [3] Duarte M F, Davenport M A, Takhar D et al. Single-Pixel Imaging Via Compressive Sampling[J]. IEEE Signal Processing Magazine, 25, 83-91(2008).

    [4] Sun T, Kelly K. Compressive sensing hyper spectral imager[C], Ctua5(2009).

    [5] Yitzhak A, Chaim V, Yair R et al. Compressive hyper spectral imaging by random separable projections in both the spatial and the spectral domains[J]. Applied Optics, 52, D46-D54(2013).

    [6] Wagadarikar A, John R, Willett R et al. Single Disperser Design for Coded Aperture Snapshot Spectral Imaging[J]. Applied Optics, 47, B44-B51(2008).

    [7] Kittle D, Choi K, Wagadarikar A et al. Multiframe image estimation for coded aperture snapshot spectral imagers[J]. Applied Optics, 49, 6824-6833(2010).

    [8] Gehm M E, John R, Brady D Jet. Single-Shot Compressive Spectral Imaging with a Dual-Disperser Architecture[J]. Optics Express, 15, 14013-14027(2007).

    [9] Arguello Henry, Arce Gonzalo. Code Aperture Design For Compressive Spectral Imaging[C], 1434-1438(2010).

    [10] Tropp J, Gilbert A. Signal Recovery from Random Measurements via Orthogonal Matching Pursuit[J]. IEEE Transactions on Information Theory, 53, 4655-4666(2007).

    [11] Chartrand R, Yin W T. Iteratively Reweighted Algorithms For Compressive Sensing[C], 1-4(2008).

    [13] Figueiredo A.T, Robert D N, Wright S J. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. IEEE Journal Of Selected Topics In Signal Processing, 1, 586-597(2007).

    [14] Lu Xu-Liang, JIA Qi, RONG Xian-hui et al. Application of degree of grey incidence on similarity of spectral curves[J]. Journal of PLA University of Science and Technology(Natural Science Edition), 12, 496-500(2011).

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    Shi-Jie LIU, Chun-Lai LI, Rui XU, Guo-Liang TANG, Bing WU, Yan XU, Jian-Yu WANG. High-precision algorithm for restoration of spectral imaging based on joint solution of double sparse domains[J]. Journal of Infrared and Millimeter Waves, 2021, 40(5): 685

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    Paper Information

    Category: Research Articles

    Received: Mar. 16, 2020

    Accepted: --

    Published Online: Sep. 29, 2021

    The Author Email: Chun-Lai LI (lichunlai@mail.sitp.ac.cn), Jian-Yu WANG (jywang@mail.sitp.ac.cn)

    DOI:10.11972/j.issn.1001-9014.2021.05.016

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology