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Proceedings Paper

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, 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. Finally, numerical simulations and test images illustrating the efficiency of the approach are presented.

Paper Details

Date Published: 8 October 1996
PDF: 12 pages
Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); doi: 10.1117/12.253451
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)


Published in SPIE Proceedings Vol. 2823:
Statistical and Stochastic Methods for Image Processing
Edward R. Dougherty; Francoise J. Preteux; Jennifer L. Davidson, Editor(s)

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