Geodesic
Nonlinear filtering of noisy contrast images based on the generalized method of the least absolute values
Journal of computational and engineering mathematics, Tome 5 (2018) no. 2, pp. 58-69.

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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. 
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V. A. Surin; A. N. Tyrsin. Nonlinear filtering of noisy contrast images based on the generalized method of the least absolute values. Journal of computational and engineering mathematics, Tome 5 (2018) no. 2, pp. 58-69. http://geodesic.mathdoc.fr/item/JCEM_2018_5_2_a4/

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