Geodesic
Multichannel deblurring of digital images
Kybernetika, Tome 47 (2011) no. 3, pp. 439-454

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

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.
Classification : 15A29, 92C55
Keywords: image restoration; blind deconvolution; deblurring; spatially varying blur 
@article{KYB_2011__47_3_a8,
     author = {\v{S}orel, Michal and \v{S}roubek, Filip and Flusser, Jan},
     title = {Multichannel deblurring of digital images},
     journal = {Kybernetika},
     pages = {439--454},
     publisher = {mathdoc},
     volume = {47},
     number = {3},
     year = {2011},
     mrnumber = {2857197},
     zbl = {1217.94020},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2011__47_3_a8/}
}
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Šorel, Michal; Šroubek, Filip; Flusser, Jan. Multichannel deblurring of digital images. Kybernetika, Tome 47 (2011) no. 3, pp. 439-454. http://geodesic.mathdoc.fr/item/KYB_2011__47_3_a8/