3-dimensional median filters for image sequence processing
Author
Alp, M. Bilge,
Neuvo, Y.
Date
1991-04Source Title
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Publisher
IEEE
Pages
2917 - 2920
Language
English
Type
Conference PaperItem Usage Stats
158
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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.
Keywords
Equations of MotionSignal Filtering and Prediction
Filtering Algorithms
Image Sequence Processing
Image Processing