Fast implementation of vector directional filters

Authors:
M. Emre Celebi
Affiliations:
Department of Computer Science, Louisiana State University, Shreveport, LA
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 6
Cited 0

Color image processing and applications

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A fast algorithm for 1-norm vector median filtering

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A quasi-Euclidean norm to speed up vector median filtering

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Abstract

Vector filters based on order-statistics have proved successful in removing impulsive noise from color 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 color images show that the proposed methods provide substantial computational gains without significant loss of accuracy.