Title :
Real-time implementation of order-statistics-based directional filters
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ. in Shreveport, Shreveport, LA
fDate :
2/1/2009 12:00:00 AM
Abstract :
Vector filters based on order-statistics have proved successful in removing impulsive noise from colour images while preserving edges and fine image details. Among these filters, the ones that involve the cosine distance function (directional filters) have particularly high computational requirements, which limits their use in time-critical applications. In this paper, we introduce two methods to speed up these filters. Experiments on a diverse set of colour images show that the proposed methods provide substantial computational gains without significant loss of accuracy.
Keywords :
image colour analysis; image denoising; image enhancement; spatial filters; statistical analysis; colour images; cosine distance function; directional filters; impulsive noise removal; order statistics; real-time implementation; time-critical applications;
Journal_Title :
Image Processing, IET
DOI :
10.1049/iet-ipr:20080080