Video denoising by fuzzy directional filter using the DSP EVM DM642

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Resumen

We present a new 3D Fuzzy Directional (3D-FD) algorithm for the denoising of video colour sequences corrupted by impulsive noise. The proposed approach consists of the estimations of movement levels, noise in the neighborhood video frames, permitting to preserve the edges, fine details and chromaticity characteristics in video sequences. Experimental results show that the noise in these sequences can be efficiently removed by the proposed 3D-FD filter, and that the method outperforms other state of the art filters of comparable complexity on video sequences. Finally, hardware requirements are evaluated permitting real time implementation on DSP EVM DM642.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings
Páginas997-1004
Número de páginas8
DOI
EstadoPublicada - 2009
Evento14th Iberoamerican Conference on Pattern Recognition, CIARP 2009 - Guadalajara, Jalisco, México
Duración: 15 nov. 200918 nov. 2009

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5856 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th Iberoamerican Conference on Pattern Recognition, CIARP 2009
País/TerritorioMéxico
CiudadGuadalajara, Jalisco
Período15/11/0918/11/09

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