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SVD Block Processing for non-linear image noise filtering (CROSBI ID 471260)

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

Devčić, Željko ; Lončarić, Sven SVD Block Processing for non-linear image noise filtering // Proceedings of the 20th Int'l Conference Information Technology Interfaces / Kalpić, D. (ur.). Zagreb, 1998. str. 371-376-x

Podaci o odgovornosti

Devčić, Željko ; Lončarić, Sven

engleski

SVD Block Processing for non-linear image noise filtering

A new algorithm for noise filtering, based on non-linear processing of image in blocks, using singular value decomposition (SVD) is presented in this paper. Noise filtering is performed in the domain of singular values and singular vectors. A priori noise variance knowledge is not required, because a singular value-based noise variance estimation is performed in the first phase of the procedure. The non-linear filtering is based on eliminating changes in singular values and singular vectors caused by additive gaussian white noise. Processing of image in smaller blocks makes SVD-based procedure computationally feasible. Experimental results have demonstrated the validity of the approach.

singular value decomposition; image enhancement

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Podaci o prilogu

371-376-x.

1998.

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objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 20th Int'l Conference Information Technology Interfaces

Kalpić, D.

Zagreb:

Podaci o skupu

20th Int'l Conference Information Technology Interfaces

predavanje

15.06.1998-18.06.1998

Pula, Hrvatska

Povezanost rada

Elektrotehnika