DocumentCode :
1280360
Title :
Multistage order statistic filters for image sequence processing
Author :
Arce, Gonzalo R.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Volume :
39
Issue :
5
fYear :
1991
fDate :
5/1/1991 12:00:00 AM
Firstpage :
1146
Lastpage :
1163
Abstract :
The application of multistage order statistic filters (MOS) to the task of noise suppression in time-varying imagery is studied. It is shown that MOS filters efficiently preserve image structures under motion without motion compensation preprocessing. In particular, the families of multistage median and weighted median filters are considered. Motion preservation and statistical smoothing measures are derived. It is shown that spatiotemporal filtering allows for a significant improvement over both spatial and temporal filtering in terms of output image resolution and noise suppression
Keywords :
filtering and prediction theory; interference suppression; picture processing; statistical analysis; image sequence processing; multistage median filters; multistage order statistic filters; noise suppression; output image resolution; spatiotemporal filtering; time-varying imagery; weighted median filters; Biomedical imaging; Computer vision; Filtering; Finite impulse response filter; Heart; Image restoration; Image sequences; Motion estimation; Nonlinear filters; Statistics;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.80969
Filename :
80969
Link To Document :
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