Abstruct-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 this paper, filters which completely preserve stationary regions in image sequences are introduced. In moving regions, the 3-D 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 alphatrimmed vector median is proposed. Guidelines for the determination of optimal 3-D 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.

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