22 Citations (Scopus)

Abstract

This paper presents a novel Fuzzy Directional (FD) Filter for suppression of impulsive noise in colour video sequences. The proposed approach consists in the estimation of fuzzy levels to detect movement and noise presence in the neighbourhood frames, permitting to preserve the edges, fine details and chromaticity characteristics in colour images and video sequences. The new framework has been justified applying commonly used objective criteria, such as, Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well subjective perception by human viewer showing better performance in comparison with known methods presented in the literature. © 2011 Elsevier Inc. All rights reserved.
Original languageAmerican English
Pages (from-to)143-149
Number of pages128
JournalJournal of Visual Communication and Image Representation
DOIs
StatePublished - 1 Jan 2012

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Impulse noise
Noise abatement
Color
Signal to noise ratio

Cite this

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title = "Fuzzy Directional (FD) Filter for impulsive noise reduction in colour video sequences",
abstract = "This paper presents a novel Fuzzy Directional (FD) Filter for suppression of impulsive noise in colour video sequences. The proposed approach consists in the estimation of fuzzy levels to detect movement and noise presence in the neighbourhood frames, permitting to preserve the edges, fine details and chromaticity characteristics in colour images and video sequences. The new framework has been justified applying commonly used objective criteria, such as, Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well subjective perception by human viewer showing better performance in comparison with known methods presented in the literature. {\circledC} 2011 Elsevier Inc. All rights reserved.",
author = "Rosales-Silva, {Alberto J.} and Gallegos-Funes, {Francisco J.} and Ponomaryov, {Volodymyr I.}",
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AB - This paper presents a novel Fuzzy Directional (FD) Filter for suppression of impulsive noise in colour video sequences. The proposed approach consists in the estimation of fuzzy levels to detect movement and noise presence in the neighbourhood frames, permitting to preserve the edges, fine details and chromaticity characteristics in colour images and video sequences. The new framework has been justified applying commonly used objective criteria, such as, Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well subjective perception by human viewer showing better performance in comparison with known methods presented in the literature. © 2011 Elsevier Inc. All rights reserved.

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