Pregled bibliografske jedinice broj: 149533
Image Denoising by Combined Quincunx and Separable Wavelet-Domain Wiener Filtering
Image Denoising by Combined Quincunx and Separable Wavelet-Domain Wiener Filtering // Proceedings of the 6th Nordic Signal Processing Symposium, NORSIG 2004 / Jarno M. A. Tanskanen (ur.).
Helsinki: Institute of Electrical and Electronics Engineers (IEEE), 2004. str. 113-116 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 149533 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Image Denoising by Combined Quincunx and Separable Wavelet-Domain Wiener Filtering
Autori
Vrankić, Miroslav ; Egiazarian, Karen ; Gotchev, Atanas
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 6th Nordic Signal Processing Symposium, NORSIG 2004
/ Jarno M. A. Tanskanen - Helsinki : Institute of Electrical and Electronics Engineers (IEEE), 2004, 113-116
Skup
6th Nordic Signal Processing Symposium
Mjesto i datum
Espoo, Finska, 09.06.2004. - 11.06.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
wavelets; image denoising; quincunx; Wiener filtering
Sažetak
In this paper, wavelet shrinkage techniques that make use of wavelets defined on quincunx grid are explored in comparison with techniques involving wavelets defined on separable grid. In order to better exploit the advantages of the nonseparable transform and to surpass certain disadvantages of quincunx wavelets, the empirical wavelet-domain Wiener filtering that combines separable and quincunx wavelets is additionally investigated.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
0036028
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Miroslav Vrankić
(autor)
