Počet záznamů: 1
Super-resolution imaging
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SYSNO ASEP 0348438 Druh ASEP M - Kapitola v monografii Zařazení RIV C - Kapitola v knize Název Towards super-resolution in the presence of spatially varying blur Tvůrce(i) Šorel, Michal (UTIA-B) RID, ORCID
Šroubek, Filip (UTIA-B) RID, ORCID
Flusser, Jan (UTIA-B) RID, ORCIDZdroj.dok. Super-resolution imaging. - Boca Raton : CRC Press, 2010 / Milanfar Peyman - ISBN 978-1-4398-1930-2 Rozsah stran s. 1-38 Poč.str. 32 s. Poč.výt. 1500 Poč.str.knihy 472 Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova image processing ; image restoration ; super-resolution Vědní obor RIV JD - Využití počítačů, robotika a její aplikace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/08/1593 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI 10.1201/9781439819319-8 Anotace The effective resolution of an imaging system is limited not only by the physical resolution of an image sensor but also by blur. If the blur is present, super-resolution makes little sense without removing the blur. Some super-resolution methods considering space-invariant blur are described in other chapters of this book. The presence of a /emph{spatially varying blur} makes the problem much more challenging and for the present, there are almost no algorithms designed specifically for this case. We argue that the critical part of such algorithms is precise estimation of the varying blur, which depends to large extent on a specific application and type of blur. In this chapter, we discuss possible sources of spatially varying blur, such as defocus, camera motion or object motion. In each case we review known approaches to blur estimation, illustrate their performance on experiments with real data and indicate problems that must be solved to be applicable in super-resolution algorithms. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
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