Vector rank M-type K-nearest neighbor filters for multichannel image processing

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Resumen

We present the Vector Rank M-type K-Nearest Neighbor (VRMKNN) filter to remove impulsive noise from color images. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbor (RMKNN) algorithm. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality of image/video transmision. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation.

Idioma originalInglés
Título de la publicación alojada2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
Páginas147-150
Número de páginas4
EstadoPublicada - 2004
Evento2004 1st International Conference on Electrical and Electronics Engineering, ICEEE - Acapulco, México
Duración: 8 sep. 200410 sep. 2004

Serie de la publicación

Nombre2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

Conferencia

Conferencia2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
País/TerritorioMéxico
CiudadAcapulco
Período8/09/0410/09/04

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