Infrared and Laser Engineering, Volume. 32, Issue 4, 401(2003)

Method of infrared image denoising based on discrete orthogonal wavelet transform

[in Chinese]1、*, [in Chinese]2, and [in Chinese]2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

    [4] [4] Donoho D L. De-noising via soft thresholding. Technical report 409[R]. California: Stanford University, 1992.

    [5] [5] Donoho D L, Johnstone I M. Ideal spatial adaptation via wavelet shrinkage[J]. Biometrika, 1994,81:425-455.

    [6] [6] Donoho D L. Denoising by soft thresholding [J]. IEEE Trans on Information Theory, 1995,41(3):613-627.

    [7] [7] Donoho D L, Johnstone I M. Threshold selection for wavelet shrinkage of noisy data [A]. In: Proc 16th Annual International Conference of IEEE Engineering in Medicine and Biology Society[C]. Baltimore, Maryland. 1994,1. A24-A25.

    [8] [8] Chang S G, Bin Yu, Martin Vetterli. Spatially adaptive wavelet thresholding with context modeling for image denoising[J]. IEEE Trans on Image Processing, 2000,9(9):1522-1531.

    [9] [9] Donoho D L, Johnstone I M. Wavelet shrinkage: asymptopia [J]. Journal of the Royal Statistical Society, Series B, 1995,57(2): 301-369.

    [10] [10] Mallat S G. A theory for multiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intellegence, 1989,11(7):674-693.

    [11] [11] Hall P, Koch I. On the feasibility of cross-validation in image analysis [J]. SIAM J Appl Math, 1992, 52(1): 292-313.

    [12] [12] Maarten Jansen, Geert Uytterhoeven, Adhemar Bultheel. Image de-nosing by integer wavelet transforms and generalized cross validation. Technical report TW264[R]. Belgium:Katholieke Universiteit, 1997.

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    [in Chinese], [in Chinese], [in Chinese]. Method of infrared image denoising based on discrete orthogonal wavelet transform[J]. Infrared and Laser Engineering, 2003, 32(4): 401

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    Paper Information

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    Received: Oct. 19, 2002

    Accepted: Dec. 20, 2002

    Published Online: Apr. 28, 2006

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