Počet záznamů: 1

Multichannel deblurring of digital images

  1. 1.
    0360217 - UTIA-B 2012 RIV CZ eng J - Článek v odborném periodiku
    Šorel, Michal - Šroubek, Filip - Flusser, Jan
    Multichannel deblurring of digital images.
    Kybernetika. Roč. 47, č. 3 (2011), s. 439-454 ISSN 0023-5954
    Grant CEP: GA MŠk 1M0572
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: image restoration * blind deconvolution * deblurring
    Kód oboru RIV: JD - Využití počítačů, robotika a její aplikace
    Impakt faktor: 0.454, rok: 2011
    http://library.utia.cas.cz/separaty/2011/ZOI/sorel-0360217.pdf 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.
    Trvalý link: http://hdl.handle.net/11104/0197820
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