SVD Block Processing for non-linear image noise filtering (CROSBI ID 471260)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
371-376-x.
1998.
nije evidentirano
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