Noise suppression in video sequences applying fuzzy vectorial directional algorithms

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Resumen

The usage of spatial-temporal information is more efficient than just their usage in a separate way. It has been designed a new fuzzy logic adaptive scheme applying directional and fuzzy processing technique with motion detection and spatialtemporal filtering of video sequences. The proposed method can distinguish the uniform regions, edges and details features in the images decreasing the processing time charges, taking only in account the samples, which demonstrate high level of corruption or motion. The algorithm runs adapting spatial-temporal information to smooth an additive noise. The non-stationary noise, which left after temporal algorithm, is removed employing a magnitude algorithm that is adapted using parameters obtained during the filtering. The designed algorithm is compared with other filters found in literature, showing the effectiveness of proposed fuzzy logic filtering approach.

Idioma originalInglés
Título de la publicación alojadaReal-Time Image Processing 2008
DOI
EstadoPublicada - 2008
EventoReal-Time Image Processing 2008 - San Jose, CA, Estados Unidos
Duración: 28 ene. 200829 ene. 2008

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen6811
ISSN (versión impresa)0277-786X

Conferencia

ConferenciaReal-Time Image Processing 2008
País/TerritorioEstados Unidos
CiudadSan Jose, CA
Período28/01/0829/01/08

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