Optimised directional distance filter
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Fast detection and impulsive noise removal in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
Real-Time Imaging - Special issue on multi-dimensional image processing
A fast impulsive noise color image filter using fuzzy metrics
Real-Time Imaging - Special issue on multi-dimensional image processing
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
Histogram-based fuzzy colour filter for image restoration
Image and Vision Computing
On VLSI design of rank-order filtering using DCRAM architecture
Integration, the VLSI Journal
An evaluation of area morphology scale-spaces for colour images
Computer Vision and Image Understanding
Isolating impulsive noise pixels in color images by peer group techniques
Computer Vision and Image Understanding
International Journal of Computational Science and Engineering
A switching weighted vector median filter based on edge detection
Signal Processing
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Most current algorithms developed for image sequence filtering require motion information in order to obtain good results both in the still and moving parts of an image sequence. In the present paper, filters which completely preserve stationary regions in image sequences are introduced. In moving regions, the 3D filters inherently reduce to spatial filters and perform well in these areas without any motion-compensation or motion-detection. A new multivariate filtering operation called the alpha-trimmed vector median is proposed. Guidelines for the determination of optimal 3D median-related structures for color and gray-level image sequence filtering are given. Algorithms based on vector median, extended vector median, alpha-trimmed vector median, and componentwise median operations are developed. Properties of the human visual system are taken into account in the design of filters. Noise attenuation and detail preservation capability of the filters is examined. In particular, the impulsive noise attenuation capability of the filters is analyzed theoretically. Simulation results based on real image sequences are given