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Num. Meth. Prog., 2008, Volume 9, Issue 3, Pages 207–212 (Mi vmp435)  

Вычислительные методы и приложения

Restoration of smeared and defocused color images

A. G. Yagola, N. A. Koshev

Lomonosov Moscow State University, Faculty of Physics

Abstract: The images subjected to additive space-invariant distortions are considered. The problem of their restoration can be reduced to solving a convolution-type integral equation. This equation is solved by regularization algorithms used for ill-posed problems. A method based on Tikhonov's functional minimization is discussed. Its computer implementation and several numerical examples are described for the case of image restoration.

Keywords: image restoration, defocused images, smeared images, Tikhonov's regularization method, integral equations, convolution-type equations.

Full text: PDF file (1333 kB)
UDC: udk519.642.3

Citation: A. G. Yagola, N. A. Koshev, “Restoration of smeared and defocused color images”, Num. Meth. Prog., 9:3 (2008), 207–212

Citation in format AMSBIB
\Bibitem{YagKos08}
\by A.~G.~Yagola, N.~A.~Koshev
\paper Restoration of smeared and defocused color images
\jour Num. Meth. Prog.
\yr 2008
\vol 9
\issue 3
\pages 207--212
\mathnet{http://mi.mathnet.ru/vmp435}


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