Image denoising method based on biorthogonal redundant wavelet transform

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

Journals >Opto-Electronic Engineering >Volume 34 >Issue 3 >Page 89 > Article

Opto-Electronic Engineering
Vol. 34, Issue 3, 89 (2007)

Image denoising method based on biorthogonal redundant wavelet transform

[in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Image denoising method based on biorthogonal redundant wavelet transform[J]. Opto-Electronic Engineering, 2007, 34(3): 89 Copy Citation Text

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References

[3] MALLAT S G.A wavelet tour of signal processing[M].San Diego:Academic Press,1998.302-310.

[4] PRASAD L,IYENGAR S S.Wavelet analysis with applications to image processing[M].New York:CRC Press,1997.217-222.

[5] COHEN A,RYAN R D.Wavelets and multiscale signal processing[M].London:Chapman and Hall,1995.160-185.

[8] Mallat S G.Multifrequency Channel Decompositions of Images and wavelet Models[J].IEEE Trans ASSP,1989,37(12):2091-2110.

[9] S.Grace Chang,Bin Yu,M.Vattereli.Adaptive Wavelet Thresholding for Image Denoising and Compression[J].IEEE Trans.Image Processing,2000,9(9):1532-1546.

[10] Donoho D L.De-noising by soft-thresholding[J].IEEE Transactions on Information Theory,1995,41(3):613-627.

[11] Zhang Xiao-Ping,Desai MD.Adaptive denoising based on SURE risk[J].IEEE Signal Processing,1998,5(10):265-267.

[12] Abramovich F,Sapatinas T,Silverman Y B.Wavelet thresholding via a Bayesian approach[J].Journal of the Roy2al Statistical Society,Ser.B,1998,60.725-749.

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Image denoising method based on biorthogonal redundant wavelet transform[J]. Opto-Electronic Engineering, 2007, 34(3): 89

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