Optics and Precision Engineering, Volume. 20, Issue 12, 2759(2012)

Image blind deblurring based on super total variation regularization with self adaptive threshold

ZHOU Luo-yu1...2,*, ZHANG Bao3, and YANG Yang1,23 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(15)

    [1] [1] MICHAILOVICH O V. An iterative shrinkage approach to total variation image restoration[J]. IEEE Trans. Image Processing, 2011, 20(5): 1281-1299.

    [3] [3] ZHANG J L, ZHANG Q H, HE G M. Blind decon-volution of a noisy degraded image[J]. Applied Optics, 2009, 48(12): 2350-2355.

    [5] [5] CHANTAS G,GALATSANOS N,MOLINA R,et al.. Variational Bayesian image restoration with a product of spatially weighted total variation image priors [J]. IEEE Trans. Image Processing, 2010, 19(2): 351- 362.

    [6] [6] CHAN T F,SHEN J H. Image Processing and Analysis Variational, PDE, Wavelet and Stochastic Methods [M]. Beijing: Science Press, 2009.

    [7] [7] RUDIN L,OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms [J]. Physica D, 1992, 60:259-268.

    [8] [8] ZOU M Y. Deconvolution and Signal Recovery [M]. Beijing: National Defense Industry Press, 2001:242-257. (in Chinese)

    [9] [9] CHAN T F,SHEN J. Aspects of total variation regularized L1 function approximation [J]. SIAM J.Appl. Math, 2005, 65:1817-1837.

    [10] [10] CHAN T F,WONG C K. Total variation blind deconvolution [J]. IEEE Trans. Image Processing, 1998, 7(3): 370-375.

    [11] [11] LIAO H Y,NG M K. Blind deconvolution using generalized cross-validation approach to regularization parameter estimation[J]. IEEE Trans. Image Processing, 2011, 20(3): 670-680.

    [12] [12] OSHER S,BURGER M,GOLDFARB D, et al.. An iterated regularization method for total variation based image restoration[J]. Simulation, 2005, 4(2):460-489.

    [13] [13] AUBERT G, KORNPROBST P. Mathematical Problems in Image Processing Partial Differential Equations and the Calculus of Variations [M]. New York: Springer, 2006.

    [14] [14] WANG Y,YANG J, YIN W,et al.. A new alternating minimization algorithm for total variation image reconstruction [J]. SIAM J. Imag. Sci., 2008, 1(3):248-272.

    [15] [15] XU Z Q. Research on the Practical Technique of Image Blind Restoration[D]. Changsha:National University of Defense Technology,2006,45-49. (in Chinese)

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    ZHOU Luo-yu, ZHANG Bao, YANG Yang. Image blind deblurring based on super total variation regularization with self adaptive threshold[J]. Optics and Precision Engineering, 2012, 20(12): 2759

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    Paper Information

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    Received: Sep. 4, 2012

    Accepted: --

    Published Online: Jan. 7, 2013

    The Author Email: Luo-yu ZHOU (luoyuzh85@gmail.com)

    DOI:10.3788/ope.20122012.2759

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