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.
A Wiener Filter Improvement Combining Wavelet Domains / Bruni, Vittoria; Vitulano, D.. - (2003), pp. 518-523. (Intervento presentato al convegno ICIAP 2003 tenutosi a MANTOVA - ITALY nel 2003) [10.1109/ICIAP.2003.1234102].
A Wiener Filter Improvement Combining Wavelet Domains
BRUNI, VITTORIA;VITULANO D.
2003
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
