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Journal of Electronic Imaging

Nonlinear locally adaptive and iterative algorithms of image restoration
Author(s): Vladimir P. Melnik; Vladimir V. Lukin; Alexander A. Zelensky; Heikki Huttunen; Jaakko T. Astola
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Paper Abstract

An adaptive approach to restoration of images corrupted by blurring, combined with additive, impulsive and multiplicative noise is proposed. It is based on the combination of nonlinear filters, iterative filtering procedures, and the principles of local adaptation. Numerical simulations and test images illustrating the efficiency of the approach are presented.

Paper Details

Date Published: 1 October 1997
PDF: 14 pages
J. Electron. Imag. 6(4) doi: 10.1117/12.276851
Published in: Journal of Electronic Imaging Volume 6, Issue 4
Show Author Affiliations
Vladimir P. Melnik, Kharkov Aviation Institute (Ukraine)
Vladimir V. Lukin, Kharkov Aviation Institute (Ukraine)
Alexander A. Zelensky, Kharkov Aviation Institute (Ukraine)
Heikki Huttunen, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)

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