• Optics and Precision Engineering
  • Vol. 21, Issue 3, 724 (2013)
WANG Liang-jun*, SHI Guang-ming, LI Fu, and SHI Si-qi
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/ope.20132103.0724 Cite this Article
    WANG Liang-jun, SHI Guang-ming, LI Fu, SHI Si-qi. Compressive sensing multiple description image coding with hybrid sampling[J]. Optics and Precision Engineering, 2013, 21(3): 724 Copy Citation Text show less
    References

    [1] MOHR A E, RISKIN E A, LADNER R E. Unequal loss protection: graceful degradation of image quality over packet erasure channels through forward error correction [J]. IEEE Journal on Selected Areas in Communications, 2000, 18(6): 819-828.

    [2] CANDES E, 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] DONOHO D L. Compressed sensing [J]. IEEE Trans on Information Theory, 2006, 52(4): 1289-1306.

    [4] LIU X Y, DONG L, WANG J L. Fourier telescopy imaging via sparse sampling [J]. Opt. Precision Eng., 2010, 18 (3): 521-527. (in Chinese)

    [5] SHI W X, LI J. Image sequence compressed sensing by minimizing prediction errors [J]. Opt. Precision Eng., 2012, 20(9): 2095-2102. (in Chinese)

    [6] WILLETT R, MARCIA R, NICHOLS J. Compressed sensing for practical optical imaging systems: a tutorial [J]. Optical Engineering, 2011, 50(7): 1-13.

    [7] FRIBOULET D, LIEBGOTT H, PROST R. Compressive sensing for raw RF signals reconstruction in ultrasound [C]. IEEE International Ultrasonics Symposium, 2010: 367-370.

    [8] ZHANG J, ZHAO D B, ZHAO C, et al.. Compressed sensing recovery via collaborative sparsity [C]. Proc. of IEEE Data Compression Conference, 2012: 287-296.

    [9] WANG L J, WU X L, SHI G M. Multiple description video coding against both erasure and bit errors by compressive sensing [C]. Visual Communication and Image Processing, 2011: 1-4.

    [10] GOYAL V K, FLETCHER A K, RANGAN S. Compressive sampling and lossy compression [J]. IEEE Signal Process. Mag., 2008, 25(2): 48-56.

    [11] BOUFOUNOS P, BARANIUK R. Quantization of sparse representations [C]. Proc. Data Compression Conf., 2007: 378-387.

    [12] WU X L, DONG W S, ZHANG X J, et al.. Model-assisted adaptive recovery of compressed sensing with imaging application [J]. IEEE Trans On Image Processing, 2012, 21(2): 451-458.

    [13] GOLOMB S W. Run-length encodings [J]. IEEE Transactions on Information Theory, 1966, 12(3): 399-401.

    [14] RICE R F, PLAUNT R. Adaptive variable-length coding for efficient compression of spacecraft television data [J]. IEEE Transactions on Communications, 1971, 16(9): 889–897.

    [15] XU Y, XU ZH Y, ZHANG Q H. Arbitrary shaped ROI image coding using Run-length coding and generalized Exp-golomb coding [J]. Opt. Precision Eng., 2011, 19 (1): 175-182. (in Chinese)

    [16] ROBINSON T. Shorten: Simple lossless and near-lossless waveform compression R. Technical Report 156, Engineering Department, Cambridge University, 1994.

    [17] WANG L J, WU X L, SHI G M. Binned progressive quantization for compressive sensing [J]. IEEE Transactions on Image Processing, 2012, 21(6): 2980-2990.

    [18] JI S H , XUE Y , CARIN L. Bayesian compressive sensing [J]. IEEE Trans on Signal Processing, 2008, 56(6): 2346-2356.

    [19] WANG Y L, YANG J F, YIN W T, et al.. A new alternating minimization algorithm for total variation image reconstruction [J]. SIAM Journal of Imaging Science, 2008, 1: 248-272.

    [20] BECK A, TEBOULLE M. A fast Iterative shrinkage-thresholding algorithm for linear inverse problems [J]. SIAM Journal on Imaging Sciences, 2009, 2(1): 183-202.

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    WANG Liang-jun, SHI Guang-ming, LI Fu, SHI Si-qi. Compressive sensing multiple description image coding with hybrid sampling[J]. Optics and Precision Engineering, 2013, 21(3): 724
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