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

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 33 >Issue 1 >Page 81 > Article

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

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

[in Chinese]¹, [in Chinese]^2、3, and [in Chinese]¹

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

[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 Copy Citation Text

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References

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

[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] 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] 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] 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.

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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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