DocumentCode
894946
Title
Minimum risk thresholds for data with heavy noise
Author
Jansen, Maarten
Author_Institution
Dept. of Math. & Comput. Sci., TU Eindhoven, Netherlands
Volume
13
Issue
5
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
296
Lastpage
299
Abstract
In the estimation of data with many zeros (sparse data), such as wavelet coefficients, thresholding is a common technique. This letter investigates the behavior of the minimum risk threshold for large values of the noise standard deviation. It finds that the threshold depends quadratically on the noise standard deviation. The relevance of this result is situated in the context of both Bayesian and universal thresholding.
Keywords
Bayes methods; image denoising; Bayesian thresholding; data estimation; minimum risk threshold; noise standard deviation; universal thresholding; Additives; Analysis of variance; Bayesian methods; Computer science; Gene expression; Image denoising; Mathematics; Random variables; Wavelet coefficients; Bayes; threshold; wavelet;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2006.870355
Filename
1618701
Link To Document