New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

V. F. Kravchenko; V. I. Ponomarev; V. I. Pustovoit; L. Nino-De-Rivera

New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

V. F. Kravchenko, V. I. Ponomarev, V. I. Pustovoit, L. Nino-De-Rivera

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Contribution to journal › Article › peer-review

Abstract

Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.

Original language	American English
Pages (from-to)	67-74
Number of pages	8
Journal	Journal of Communications Technology and Electronics
State	Published - 1 Jan 2002

Cite this

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title = "New robust nonlinear image-filtering algorithms preserving small features in the presence of noise",

abstract = "Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.",

author = "Kravchenko, {V. F.} and Ponomarev, {V. I.} and Pustovoit, {V. I.} and L. Nino-De-Rivera",

year = "2002",

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AU - Kravchenko, V. F.

AU - Ponomarev, V. I.

AU - Pustovoit, V. I.

AU - Nino-De-Rivera, L.

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N2 - Robust nonlinear image-filtering algorithms that preserve small-size features in the presence of noise are proposed and supported. Numerical experiments confirm efficiency of the method.

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New robust nonlinear image-filtering algorithms preserving small features in the presence of noise

Abstract

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