Peer group vector median filter

Authors:
Bogdan Smolka
Affiliations:
Silesian University of Technology, Department of Automatic Control, Gliwice, Poland
Venue:
Proceedings of the 29th DAGM conference on Pattern recognition
Year:
2007

Citing 5
Cited 0

Color image processing and applications

Color image processing and applications
Fast adaptive similarity based impulsive noise reduction filter

Real-Time Imaging - Special issue on spectral imaging
Fast detection and impulsive noise removal in color images

Real-Time Imaging - Special issue on multi-dimensional image processing
Sharpening vector median filters

Signal Processing
Peer group image enhancement

IEEE Transactions on Image Processing

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Abstract

In this paper, the properties of a novel color image filtering technique capable of impulse noise removal and edge enhancement are analyzed. The new filtering design is a generalization of the well known Vector Median Filter. The proposed filtering class is minimizing the cumulated dissimilarity measure of a group of pixels from the filtering window. The described filter is computationally efficient, easy to implement and very effective in suppressing impulsive noise, while preserving image details and strongly enhancing its edges.