Naslov
Blur Identification Using Averaged Spectra of Degraded Image Singular Vectors

Autori
Devčić, Željko ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of Int'l Conference on Acoustics, Speech, and Signal Processing / Tekalp, Murat - Istanbul : Institute of Electrical and Electronics Engineers (IEEE), 2000

Skup
Int'l Conference on Acoustics, Speech, and Signal Processing

Mjesto i datum
Istanbul, Turska, 05.06.2000. - 09.06.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
singular value decomposition; image processing; debluring; point spread function estimation

Sažetak
In this paper we propose new blur identification algorithm based on singular value decomposition (SVD) of degraded image. An unknown space-invariant point-spread function (PSF) is also decomposed using SVD. Magnitude functions of PSF singular vectors (left and right) are identified using averaged spectra of corresponding singular vectors of degraded image. Phase functions of PSF singular vectors are supposed to be zero, except for the case when zero crossings can be detected from corresponding magnitude functions. In the proposed method, two dimensional PSF estimation procedure is decomposed into several one-dimensional estimation procedures. PSF estimation algorithm does not require numerical optimization, what implicates fast and straightforward procedure.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA