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Super-resolution imaging

SYSNO ASEP	0348438
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	Towards super-resolution in the presence of spatially varying blur
Author(s)	Šorel, Michal (UTIA-B)_{RID, ORCID} Šroubek, Filip (UTIA-B)_{RID, ORCID} Flusser, Jan (UTIA-B)_{RID, ORCID}
Source Title	Super-resolution imaging. - Boca Raton : CRC Press, 2010 / Milanfar Peyman - ISBN 978-1-4398-1930-2
Pages	s. 1-38
Number of pages	32 s.
Number of copy	1500
Number of pages	472
Language	eng - English
Country	US - United States
Keywords	image processing ; image restoration ; super-resolution
Subject RIV	JD - Computer Applications, Robotics
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/08/1593 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
DOI	10.1201/9781439819319-8
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2011

Number of the records: 1