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