3D order statistics filters in processing of video sequences

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2 Citas (Scopus)

Resumen

Several novel algorithms used for impulsive noise suppression are applied in 3D color imaging. The analysis has shown that some of them are presented good performances in preservation of fine details, edges, and chromaticity. Robust algorithms that use the order statistics, vector directional and adaptive methods are developed applying 3D video processing, and realizing noise suppression. The results of the filtering in the 3D mode for video processing by proposed Video Adaptive Vector Directional filter have shown that it outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, 1-trimmed Mean, and Median filters. The PSNR, MAE and NCD criteria and visual subjective analysis have been applied during simulation to evaluate performances of the proposed and existed techniques.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007
Páginas45-50
Número de páginas6
EstadoPublicada - 2007
Evento4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007 - Innsbruck, Austria
Duración: 14 feb. 200716 feb. 2007

Serie de la publicación

NombreProceedings of the 4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007

Conferencia

Conferencia4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007
País/TerritorioAustria
CiudadInnsbruck
Período14/02/0716/02/07

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