Image denoising method using multiple wavelet bases and fusion technology

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

Journals >Opto-Electronic Engineering >Volume 34 >Issue 11 >Page 103 > Article

Opto-Electronic Engineering
Vol. 34, Issue 11, 103 (2007)

Image denoising method using multiple wavelet bases and fusion technology

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

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[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese]. Image denoising method using multiple wavelet bases and fusion technology[J]. Opto-Electronic Engineering, 2007, 34(11): 103 Copy Citation Text

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References

[1] Donoho D L,Johnstone I M.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika,1994,81(12):425-455.

[2] Donoho D L.De-noising via soft-thresholding[J].IEEE Trans.Inform Theory,1995,41(3):613-627.

[3] Li Q W,He C Y.A New Thresholding Method in Wavelet Packet Analysis for Image De-noising[A].Mechatronics and Automation,Proceedings of the IEEE ICMA[C].Luoyang:IEEE,2006:2074-2078.

[7] Chang S Grace,Yu Bin,Vetterli Martin.Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising[J].IEEE Trans.Image Processing,2000,9(9):1522-1531.

[8] Li H,Manjunath B S,Mitra S I.Multisensor Image Fusion Using the Wavelet Transform[J].Graphical Models and Image Processing,1995,57(3):235-245.

CLP Journals

[1] Ni Xue, Li Qingwu, Meng Fan, Shi Dan, Fan Xinnan. Image Denoising Method Based on Curvelet Transform and Total Variation[J]. Acta Optica Sinica, 2009, 29(9): 2390

[in Chinese], [in Chinese], [in Chinese]. Image denoising method using multiple wavelet bases and fusion technology[J]. Opto-Electronic Engineering, 2007, 34(11): 103

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