Optics and Precision Engineering, Volume. 17, Issue 2, 417(2009)

Improved immune algorithm for image restoration

ZHANG Yu-dong* and WU Le-nan
Author Affiliations
  • [in Chinese]
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    References(20)

    [1] [1] BESAG J. Spatial interaction and the statistical analysis of lattice systems[J]. Journal of the Royal Statistical Society, 1974(36):192-236.

    [2] [2] NGUYEN N X. Numerical algorithms for image superresoluion[DB/OL]. Stanford University. http://www.cse.ucse.edu/~milanfar/NguyenPhDThesis.ps, 2000.

    [3] [3] BOSE N K, LERTRATTANAPANICH S,KOO J. Advances in superresolution using L-curve[C]. Proceedings of IEEE International Symposium on Circuits and Systems, Sydney, 2001:433-436.

    [5] [5] QIAN W, CLARKE L P. Wavelet-based neural network with fuzzy-logic adaptivity for nuclear image restoration[J]. Proceedings of the IEEE, 1996,84(10):1458-1473.

    [6] [6] KIPKPATRICK S, GELLATT C D, VECCHI M P. Optimization by Simulated Annealing[M]. IBM Thomas J.Watson Research Center, Yorktown Heights, 1982.

    [7] [7] GEMAN S, GEMAN D, STOCHASTIC R. Gibbs distribution, and the Bayesian restoration of images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984(6):721-741.

    [8] [8] CHEN Y W, NAKAO Z, ARAKAKI K, et al.. Restoration of gray images based on a genetic algorithm with Laplacian constraint[J]. Fuzzy Sets and Systems, 1999,103(2):285-293.

    [9] [9] TSAI H H, YU P T. Genetic-based fuzzy hybrid multichannel filters for color image restoration[J]. Fuzzy Sets and Systems, 2000,114(2):203-224.

    [10] [10] KIM J B, KIM H J. Region removal and restoration using a genetic algorithm with isophote constraint[J]. Pattern Recognition Letters, 2003,24(9-10):1303-1316.

    [11] [11] LIU ZH J, DING M Y, ZHOU CH P, et al.. A parallel genetic algorithm for image super-resolution restoration[J]. Journal of Images and Graphics, 2004,9(1):62-68. (in Chinese)

    [12] [12] LI Y, ZHAO R CH, ZHANG Y N, et al.. Image segmentation using adaptive immune genetic algorithm[J]. PR&AI, 2005,18(2):193-197. (in Chinese)

    [13] [13] GEMAN S, MCCLURE D E. Bayesian image analysis: an application to single photon emission tomography [C]. In: Proceedings of the Statistical Computing Section, American Statistical Association. 1985:12-18.

    [14] [14] HEBERT T, LEAHY R. Statistic-based MAP image restoration form Poisson data using Gibbs priors [J]. IEEE Transactions on Signal Processing, 1992,40(9):2290-2303.

    [15] [15] WANG G X, WANG ZH M, DUAN X J. Iterative regularized image restoration based on a generalized gaussian model for noise[J]. Journal of Images and Graphics, 2004,9(8):978-983. (in Chinese)

    [16] [16] ADLER R J, FELDMAN R E, TAQQU M S. A practical guide to heavy tails[J]. Boston, Birkhauser, 1998.

    [19] [19] WANG N, WEI C J, SHENG Z H. Genetic algorithm combined with a chaotic sequence[J]. Systems Engineering Theory & Practice,1999,19(11):1-7.

    [20] [20] HONG M C, STATHAKI T, KATSAGGLOS A K. Iterative regularized least-mean mixed-norm image restoration[J]. Optical Engineering, 2002,41(10):2515-2524

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    ZHANG Yu-dong, WU Le-nan. Improved immune algorithm for image restoration[J]. Optics and Precision Engineering, 2009, 17(2): 417

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    Paper Information

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    Received: May. 14, 2008

    Accepted: --

    Published Online: Oct. 9, 2009

    The Author Email: Yu-dong ZHANG (zhangyudongnuaa@gmail.com)

    DOI:

    CSTR:32186.14.

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