DocumentCode
2101847
Title
A Wiener filter improvement combining wavelet domains
Author
Bruni, V. ; Vitulano, D.
Author_Institution
Ist. per le Applicazioni del Calcolo, CNR, Rome, Italy
fYear
2003
fDate
17-19 Sept. 2003
Firstpage
518
Lastpage
523
Abstract
An improvement of an interesting approach for denoising in the wavelet domain using an empirical Wiener filter (Choi, H. and Baraniuk, R., Proc. IEEE-SP Int. Symp. on Time-frequency and Time-scale Anal., 1998) is presented. It is based on a well-balanced matching of selection and attenuation performances using more than one wavelet basis. Experimental results are better than other wavelet-Wiener based techniques, both in terms of objective (signal-to-noise ratio, SNR) and subjective quality, requiring a moderate computing time.
Keywords
Wiener filters; image denoising; wavelet transforms; SNR; Wiener filter; attenuation performance; image denoising; selection performance; signal denoising; signal-to-noise ratio; wavelet basis; wavelet domains; Additive white noise; Attenuation; Electronic mail; Image denoising; Noise reduction; PSNR; Signal to noise ratio; Wavelet domain; Wavelet transforms; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN
0-7695-1948-2
Type
conf
DOI
10.1109/ICIAP.2003.1234102
Filename
1234102
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