Вычислительные методы и приложения
Restoration of smeared and defocused color images
A. G. Yagola, N. A. Koshev
Lomonosov Moscow State University, Faculty of Physics
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.
image restoration, defocused images, smeared images, Tikhonov's regularization method, integral equations, convolution-type equations.
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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
\by A.~G.~Yagola, N.~A.~Koshev
\paper Restoration of smeared and defocused color images
\jour Num. Meth. Prog.
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