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Image Denoising by Combined Quincunx and Separable Wavelet-Domain Wiener Filtering (CROSBI ID 496812)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Vrankić, Miroslav ; Egiazarian, Karen ; Gotchev, Atanas 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-x

Podaci o odgovornosti

Vrankić, Miroslav ; Egiazarian, Karen ; Gotchev, Atanas

engleski

Image Denoising by Combined Quincunx and Separable Wavelet-Domain Wiener Filtering

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.

wavelets; image denoising; quincunx; Wiener filtering

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Podaci o prilogu

113-116-x.

2004.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 6th Nordic Signal Processing Symposium, NORSIG 2004

Jarno M. A. Tanskanen

Helsinki: Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

6th Nordic Signal Processing Symposium

predavanje

09.06.2004-11.06.2004

Espoo, Finska

Povezanost rada

Elektrotehnika