Title :
Image denoising using robust regression
Author :
Hou, Zujun ; Koh, T.S.
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.821703
