1 October 1997 Nonlinear locally adaptive and iterative algorithms of image restoration
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J. of Electronic Imaging, 6(4), (1997). doi:10.1117/12.276851
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, Jaakko T. Astola, "Nonlinear locally adaptive and iterative algorithms of image restoration," Journal of Electronic Imaging 6(4), (1 October 1997). http://dx.doi.org/10.1117/12.276851
JOURNAL ARTICLE
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KEYWORDS
Image filtering

Digital filtering

Nonlinear filtering

Image restoration

Reconstruction algorithms

Filtering (signal processing)

Image processing

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