• Electronics Optics & Control
  • Vol. 26, Issue 12, 28 (2019)
ZHU Yongjun1、2, LIU Wenbo1, SHEN Qian1, and XU Mengying1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.12.006 Cite this Article
    ZHU Yongjun, LIU Wenbo, SHEN Qian, XU Mengying. An Adaptive Block Compressed Sensing Algorithm Based on Saliency[J]. Electronics Optics & Control, 2019, 26(12): 28 Copy Citation Text show less
    References

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

    [2] BARANIUK R G.Compressive sensing[J]. IEEE Signal Processing Magazine, 2007, 24(4): 118-121.

    [3] CANDES E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.

    [10] GAN L. Block compressed sensing of natural images[C]//Proceedings of the 15th International Conference on Digital Signal Processing, 2007: 403-406.

    [13] CAND S E J, TAO T. Near optimal signal recovery from random projections: universal encoding strategies[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425.

    [15] SHEN J H. On the foundations of vision modeling: I. Weber’s law and Weberized TV restoration[J]. ELSEVIER Physica D, 2003, 175: 241-251.

    [16] HARALICK R M, SHANMUGAM K, DINSTEIN I H. Texture features for image classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1973, 3(6): 610-621.

    [17] BOTTCHER A. Orthogonal symmetric Toeplitz matrices[J]. Complex Analysis and Operator Theory, 2008, 2(2): 285-298.

    ZHU Yongjun, LIU Wenbo, SHEN Qian, XU Mengying. An Adaptive Block Compressed Sensing Algorithm Based on Saliency[J]. Electronics Optics & Control, 2019, 26(12): 28
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