Surfacelet Hard-Threshold Video De-Noising Method Combining Multi-Cycle Spinning

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Taking into account that the Surfacelet hard threshold video de-noising would produce pseudo-Gibbs phenomenon, this paper proposes Surfacelet transform video de-noising method combining Cycle Spinning. Experimental results show that video which is processed by this algorithm not only eliminates the pseudo-Gibbs phenomenon which is produced by hard threshold de-noising, but also achieves higher PSNR, significantly improving the video quality after de-noising.

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202-206

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y.Lu and M.N.Do, "Multidimensional Directional Filter Banks and Surfacelets," IEEE Transactions on Image Processing, vol. 16, pp:918-931. (2007)

DOI: 10.1109/tip.2007.891785

Google Scholar

[2] Y.Lu and M.N.Do, 3-D directional filter banks and Surfacelet, Invited Papers, Proc. of SPIE conference on Wavelet Applications in Signal and Image Processing XI, San Diego, USA, August 2005.

Google Scholar

[3] GaoHongye, Bruce A G. Waveshrink semisoft shrinkage[J]. .Statistical Science Research Report, 1995:l-25.

Google Scholar

[4] Bruce A G, Gao H Y, Understanding waveshrink: variance and bias estimation [J]. Biometrika, 1996, 83 (4): 727-745.

DOI: 10.1093/biomet/83.4.727

Google Scholar

[5] Eslami, Radha H.The contourlet transform for image de-nosing using cycle spinning[A]. Asilomar Conference on Signals, Systems, and Computer[C] Pccific Grove, USA : 2003. 1982-1996.

DOI: 10.1109/acssc.2003.1292328

Google Scholar