Noise invalidation denoising

Authors:
Soosan Beheshti;Masoud Hashemi;Xiao-Ping Zhang;Nima Nikvand
Affiliations:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada;Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada;Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
Venue:
IEEE Transactions on Signal Processing
Year:
2010

Citing 6
Cited 0

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Abstract

A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise the data. The novelty of this approach is in presenting a general-purpose denoising in the sense that it does not need to employ any particular assumption on the structure of the noise-free signal, such as data smoothness or sparsity of the coefficients. An advantage of the method is in denoising the corrupted data in any complete basis transformation (orthogonal or non-orthogonal). Experimental results show that the proposed method, called noise invalidation denoising (NIDe), outperforms existing denoising approaches in terms of mean square error (MSE).