DocumentCode :
2450456
Title :
Image denoising using Wiener filtering and wavelet thresholding
Author :
Huang, X. ; Woolsey, G.A.
Author_Institution :
Dept. of Phys. & Electron. Eng., New England Univ., Armidale, NSW, Australia
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1759
Abstract :
A method of image denoising using Wiener filtering and wavelet thresholding is discussed. Unlike previous methods used for image denoising using Wiener filtering and wavelet thresholding, the statistician´s Pythagorean theorem is used for wavelet thresholding. A faster, approximate implementation of the filter is thus achieved
Keywords :
filtering theory; image restoration; wavelet transforms; Pythagorean theorem; Wiener filtering; image denoising; image restoration; wavelet thresholding; Estimation error; Filtering; Finite impulse response filter; IIR filters; Image denoising; Image restoration; Libraries; Nonlinear filters; Signal processing; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
Type :
conf
DOI :
10.1109/ICME.2000.871113
Filename :
871113
Link To Document :
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