Title :
Multistage order statistic filters for image sequence processing
Author :
Arce, Gonzalo R.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
fDate :
5/1/1991 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on