DocumentCode :
1317749
Title :
Noise Invalidation Denoising
Author :
Beheshti, Soosan ; Hashemi, Masoud ; Zhang, Xiao-Ping ; Nikvand, Nima
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Volume :
58
Issue :
12
fYear :
2010
Firstpage :
6007
Lastpage :
6016
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).
Keywords :
mean square error methods; signal denoising; confidence region; data smoothness; general-purpose denoising; mean square error; noise invalidation denoising; noise order statistics; noise signature; Additive noise; Colored noise; Gaussian distribution; Noise reduction; Random processes; Sorting; Confidence region; order statistics; thresholding;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2010.2074199
Filename :
5567178
Link To Document :
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