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JOURNALS // Numerical methods and programming // Archive

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.

UDC: udk519.642.3



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