Multichannel deblurring of digital images

0360217 - ÚTIA 2012 RIV CZ eng J - Journal Article
Šorel, Michal - Šroubek, Filip - Flusser, Jan
Multichannel deblurring of digital images.
Kybernetika. Roč. 47, č. 3 (2011), s. 439-454. ISSN 0023-5954
R&D Projects: GA MŠMT 1M0572
Institutional research plan: CEZ:AV0Z10750506
Keywords : image restoration * blind deconvolution * deblurring
Subject RIV: JD - Computer Applications, Robotics
Impact factor: 0.454, year: 2011
http://library.utia.cas.cz/separaty/2011/ZOI/sorel-0360217.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0197820