Počet záznamů: 1
Registration of Images with N-fold Dihedral Blur
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SYSNO ASEP 0441247 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Registration of Images with N-fold Dihedral Blur Tvůrce(i) Pedone, M. (IT)
Flusser, Jan (UTIA-B) RID, ORCID
Heikkila, J. (FI)Celkový počet autorů 3 Zdroj.dok. IEEE Transactions on Image Processing. - : Institute of Electrical and Electronics Engineers - ISSN 1057-7149
Roč. 24, č. 3 (2015), s. 1036-1045Poč.str. 10 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova Image registration ; blurred images ; N-fold rotational symmetry ; dihedral symmetry ; phase correlation Vědní obor RIV JD - Využití počítačů, robotika a její aplikace CEP GA13-29225S GA ČR - Grantová agentura ČR GA15-16928S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 UT WOS 000349163300007 EID SCOPUS 84959541830 DOI https://doi.org/10.1109/TIP.2015.2390977 Anotace In this paper, we extend our recent registration method designed specifically for registering blurred images. The original method works for unknown blurs, assuming the blurring point-spread function (PSF) exhibits an N-fold rotational symmetry. Here, we also generalize the theory to the case of dihedrally symmetric blurs, which are produced by the PSFs having both rotational and axial symmetries. Such kind of blurs are often found in unfocused images acquired by digital cameras, as in out-of-focus shots the PSF typically mimics the shape of the shutter aperture. This makes our registration algorithm particularly well-suited in applications where blurred image registration must be used as a preprocess step of an image fusion algorithm, and where common registration methods fail, due to the amount of blur. We demonstrate that the proposed method leads to an improvement of the registration performance, and we show its applicability to real images by providing successful examples of blurred image registration followed by depth-of-field extension and multichannel blind deconvolution. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2015
Počet záznamů: 1