V. A. Surin, A. N. Tyrsin, “Nonlinear filtering of noisy contrast images based on the generalized method of the least absolute values”, J. Comp. Eng. Math., 2018, Volume 5, Issue 2,Pages <nobr>58

This article is cited in 1 paper

Computational Mathematics

Nonlinear filtering of noisy contrast images based on the generalized method of the least absolute values

V. A. Surin^a, A. N. Tyrsin^bc

^a South Ural State University (Chelyabinsk, Russian Federation)
^b Ural Federal University (Yekaterinburg, Russian Federation)
^c Science and Engineering Center «Reliability and Resource of Large Systems and Machines», Ural Branch of the Russian Academy of Sciences

Abstract: In article the nonlinear smoothing filter which is based on the generalized method of least absolute value is described. Comparison with other known filters of smoothing on real images is lead. Strengths and weaknesses of the given filter are revealed. As a result of experiments it is shown that smoothing by the filter on the basis of the generalized method of the least absolute values eliminates noise on overfall more effectively.

Keywords: contrast image, contrast boundary, model, digital processing, noise reduction, generalized method of least absolute values, GMLAM.

UDC: 621.397:004.932

MSC: 68U10

Received: 02.06.2018

Language: English

DOI: 10.14529/jcem180205