3D vector directional filters to process video sequences

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2 Citas (Scopus)

Resumen

We present novel algorithms to suppress impulsive noise in video color sequences. They use order statistics, directional and adaptive processing techniques. Extensive simulation results in known reference video color sequences have demonstrated that the proposed filters consistently outperform other filters by balancing the tradeoff between noise suppression, detail preservation, and chromaticity characteristics. The criteria used to compare the performance or various filters were the PSNR, MAE, and NCD.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
EditorialSpringer Verlag
Páginas474-480
Número de páginas7
ISBN (versión impresa)3540465561, 9783540465560
DOI
EstadoPublicada - 2006
Evento11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 - Cancun, México
Duración: 14 nov. 200617 nov. 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4225 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
País/TerritorioMéxico
CiudadCancun
Período14/11/0617/11/06

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