3-dimensional median filters for image sequence processing

Date
1991-04
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Source Title
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
2917 - 2920
Language
English
Type
Conference Paper
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Abstract

Two 3-D median-based filtering algorithms have been developed that preserve the motion in the image sequence while attenuating noise effectively. Some observations are made on the root signals in binary domain based on the positive Boolean functions corresponding to the filters. From the Boolean expressions the output distribution functions are derived. The performance of both filters under various noise types is examined theoretically and experimentally. The structures are simulated on a video sequencer (DVSR 100) on real image sequences. Comparisons are made with other 2- and 3-D algorithms from the literature based on mean square error, mean absolute error, and subjective criteria.

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Book Title
Keywords
Equations of Motion, Signal Filtering and Prediction, Filtering Algorithms, Image Sequence Processing, Image Processing
Citation
Published Version (Please cite this version)