Multichannel deblurring of digital images

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SYSNO ASEP	0360217
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Multichannel deblurring of digital images
Author(s)	Šorel, Michal (UTIA-B)_{RID, ORCID} Šroubek, Filip (UTIA-B)_{RID, ORCID} Flusser, Jan (UTIA-B)_{RID, ORCID}
Source Title	Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954 Roč. 47, č. 3 (2011), s. 439-454
Number of pages	16 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	image restoration ; blind deconvolution ; deblurring
Subject RIV	JD - Computer Applications, Robotics
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
UT WOS	000293207900009
Annotation	Blur is a common problem that limits the eﬀective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with speciﬁc regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance of the methods.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

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