Filtering of multichannel video sequences distorted by noise, based on the fuzzy-set theory

V. F. Kravchenko; V. I. Ponomaryov; V. I. Pustovoit

doi:10.1134/S1028335813100029

Filtering of multichannel video sequences distorted by noise, based on the fuzzy-set theory

V. F. Kravchenko, V. I. Ponomaryov, V. I. Pustovoit

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

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

5 Scopus citations

Abstract

A new approach based on the fuzzy-set theory is proposed, which allows detection of object motion from frame to frame of video sequences and filtering of images distorted by additive noise. New fuzzy rules and membership functions introduced in the study make it possible to perform efficient filtering of video sequences using the correlation between channels and in video sequence neighboring frames. Simulation of the proposed and known algorithms of video sequence processing shows the advantage of the new filtering scheme in terms of conventional PSNR, MAE, NCD, SSIM criteria and visual comparison of filtered video sequences.

Original language	English
Pages (from-to)	447-452
Number of pages	6
Journal	Doklady Physics
Volume	58
Issue number	10
DOIs	https://doi.org/10.1134/S1028335813100029
State	Published - Oct 2013

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abstract = "A new approach based on the fuzzy-set theory is proposed, which allows detection of object motion from frame to frame of video sequences and filtering of images distorted by additive noise. New fuzzy rules and membership functions introduced in the study make it possible to perform efficient filtering of video sequences using the correlation between channels and in video sequence neighboring frames. Simulation of the proposed and known algorithms of video sequence processing shows the advantage of the new filtering scheme in terms of conventional PSNR, MAE, NCD, SSIM criteria and visual comparison of filtered video sequences.",

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AB - A new approach based on the fuzzy-set theory is proposed, which allows detection of object motion from frame to frame of video sequences and filtering of images distorted by additive noise. New fuzzy rules and membership functions introduced in the study make it possible to perform efficient filtering of video sequences using the correlation between channels and in video sequence neighboring frames. Simulation of the proposed and known algorithms of video sequence processing shows the advantage of the new filtering scheme in terms of conventional PSNR, MAE, NCD, SSIM criteria and visual comparison of filtered video sequences.

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Filtering of multichannel video sequences distorted by noise, based on the fuzzy-set theory

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