Opto-Electronic Engineering, Volume. 33, Issue 1, 81(2006)

Image denoising using improved adaptive proportion-shrinking algorithm in Wavelet field

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    References(5)

    [2] [2] GROSSMAN A.Wavelet transform and edge detection,Stochastic process in physics and engineering[M].Dodrecht:Reidel Pub.Co,1986.128-145.

    [3] [3] DONOHO D L,JOHNSTONE I M.Adapting to unknown smoothness via wavelet shrinkage[J].Journal of the American StatisticalAssociation,1995,90(12):1200-1224.

    [4] [4] MIHCAK M K,KOZINTSEV I,RAMCHANDRAN K,et al.Low-complexity image denoising based on statistical modeling of wavelet coefficient[J].IEEE Trans.On Signal Processing,1999,6(12):300-303.

    [5] [5] MIHCAK M K,KOZINTSEV I,RAMCHANDRAN K.Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising[J].IEEE Int.Conf.Acoustics,Speech and Signal Proc,Phoenix,AZ,1999,6:3253-3256.

    [6] [6] CHING P C,SO H C,WU S Q.On wavelet denoising and its application to time delay estimation[J].IEEE Trans.Signal Processing,1993,47(10):2879-2882.

    CLP Journals

    [1] Ma Lina, Zong Xiaoying, Li Yongqiang. Analysis of Focusing Camera Based on of Image Spectrum[J]. Acta Optica Sinica, 2015, 35(7): 710002

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    [in Chinese], [in Chinese], [in Chinese]. Image denoising using improved adaptive proportion-shrinking algorithm in Wavelet field[J]. Opto-Electronic Engineering, 2006, 33(1): 81

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    Paper Information

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    Received: Feb. 16, 2005

    Accepted: --

    Published Online: Nov. 14, 2007

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