DocumentCode
867535
Title
Image denoising using robust regression
Author
Hou, Zujun ; Koh, T.S.
Author_Institution
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Volume
11
Issue
2
fYear
2004
Firstpage
243
Lastpage
246
Abstract
An image denoising method based on robust regression is proposed in this letter. Investigation on real images contaminated by mixture Gaussian noise has demonstrated that the performance of the present method is stable and reliable under noise distributions varying from Gaussian to impulsive.
Keywords
Gaussian noise; image denoising; impulse noise; regression analysis; image denoising method; impulsive noise; noise distributions; nonGaussian noise; real images; robust regression; robust statistics; Gaussian distribution; Gaussian noise; Image denoising; Least squares approximation; Noise reduction; Noise robustness; Parameter estimation; Predictive models; Random variables; Statistical distributions;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.821703
Filename
1261990
Link To Document