1 October 1997 Nonlinear locally adaptive and iterative algorithms of image restoration
Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, Jaakko T. Astola
Author Affiliations +
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.
Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, and Jaakko T. Astola "Nonlinear locally adaptive and iterative algorithms of image restoration," Journal of Electronic Imaging 6(4), (1 October 1997). https://doi.org/10.1117/12.276851
Published: 1 October 1997
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Cited by 1 scholarly publication.
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KEYWORDS
Image filtering

Digital filtering

Nonlinear filtering

Image restoration

Reconstruction algorithms

Filtering (signal processing)

Image processing

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