Pregled bibliografske jedinice broj: 50457
Simultaneous estimation of PSF and global frame shifts at lower S/N ratios
Simultaneous estimation of PSF and global frame shifts at lower S/N ratios // Proceedings of the First Int'l Workshop on Image and Signal Processing and Analysis / Lončarić, Sven (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000. str. 41-46 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 50457 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Simultaneous estimation of PSF and global frame shifts at lower S/N ratios
Autori
Devčić, Željko ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the First Int'l Workshop on Image and Signal Processing and Analysis
/ Lončarić, Sven - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000, 41-46
Skup
First Int'l Workshop on Image and Signal Processing and Analysis
Mjesto i datum
Pula, Hrvatska, 13.06.2000. - 16.06.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
point spread function; singular value decomposition; global frame shifts
Sažetak
In this paper we present new algorithm for simultaneous estimation of degradation PSF and global frame shifts, using degraded frames only. Algorithm is based on the SVD. Separable approximation is supposed for the PSF. It has been shown that frame shifts cause same shifts in the corresponding singular vectors. This fact is used in the spatial domain for PSF estimation, and in the temporal domain for estimation of global frame shifts. First few singular vectors contain less noise. This fact is further improved by averaging operation. Magnitude functions of PSF first singular vectors are estimated by averaging of corresponding first few singular vectors of degraded image. Estimation of global frame shifts uses corresponding first few singular vectors of consecutive frames. Experimental results on simulated and real-world degraded frames prove the validity of the approach.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036024
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Sven Lončarić
(autor)