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Nonlinear filtering with adaptation to local properties of the image
М.А. Shcherbakov, A.P. Panov

 

Penza State University

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Full text of article: Russian language.

DOI: 10.18287/0134-2452-2014-38-4-818-824

Pages: 818-824.

Abstract:
Different approaches to the construction of digital nonlinear filters that operate by use of local image properties are offered. Structures of nonlinear filters with variable nonlinear-component weight and parametric adaptation are considered. The effectiveness of the proposed methods of filtering is illustrated by the examples of the additive Gaussian and impulse noise suppression.

Key words:
digital image processing, adaptive nonlinear filter, noise reduction.

Citation:
Shcherbakov МА, Panov AP. Nonlinear filtering with adaptation to local properties of the image. Computer Optics 2014; 38(4): 818-824. DOI: 10.18287/0134-2452-2014-38-4-818-824.

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