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CORR
2010
Springer

Noise Invalidation Denoising

13 years 10 months ago
Noise Invalidation Denoising
—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).
Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang,
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where CORR
Authors Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang, Nima Nikvand
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