Order statistics vector directional filters to process multichannel images

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Resumen

Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.

Idioma originalInglés
Título de la publicación alojadaImage and Signal Processing for Remote Sensing XII
DOI
EstadoPublicada - 2006
EventoImage and Signal Processing for Remote Sensing XII - Stockholm, Suecia
Duración: 11 sep. 200614 sep. 2006

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen6365
ISSN (versión impresa)0277-786X

Conferencia

ConferenciaImage and Signal Processing for Remote Sensing XII
País/TerritorioSuecia
CiudadStockholm
Período11/09/0614/09/06

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