Blur Identification Using Averaged Spectra of Degraded Image Singular Vectors (CROSBI ID 479669)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Devčić Željko ; Lončarić Sven
engleski
Blur Identification Using Averaged Spectra of Degraded Image Singular Vectors
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.
blur ; identification ; singular vectors
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Podaci o prilogu
2195-2198.
2000.
objavljeno
Podaci o matičnoj publikaciji
ICASSP 2000 Conference Proceedings
Tekalp, Murat
Istanbul: Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing
poster
05.06.2000-09.06.2000
Istanbul, Turska