3D filtering of colour video sequences using fuzzy logic and vector order statistics

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Novel approach designed in this paper permits the suppression of impulsive noise in multichannel video sequences. It employs the fuzzy logic and vector order statistic methods to detect motion and noise presence during spatial-temporal processing neighbouring video frames, preserving the edges, fine details, as well as colour properties. Numerous simulation results have justified it excellent performance in terms of objective criteria: Pick Signal-to- Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well as in subjective perception by human viewer.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 11th International Conference, ACIVS 2009, Proceedings
Pages210-221
Number of pages12
DOIs
StatePublished - 2009
Event11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009 - Bordeaux, France
Duration: 28 Sep 20092 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5807 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009
Country/TerritoryFrance
CityBordeaux
Period28/09/092/10/09

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