DocumentCode
1643360
Title
Motion-preserving ranked-order filters for image sequence processing
Author
Arce, Gonzalo R. ; Malaret, Eric
Author_Institution
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
fYear
1989
Firstpage
983
Abstract
A class of ranked-order-based filters for the noise suppression of time-varying imagery is introduced. These temporal filters efficiently preserve image structures under motion without motion compensation preprocessing. It is shown that spatio-temporal multistage median filters (MMFs) allow for a significant improvement over both spatial MMFs and temporal median filters in image resolution and noise suppression
Keywords
computerised picture processing; filtering and prediction theory; image resolution; image sequence processing; motion preserving ranked-ordered-based filters; moving image structure preservation; noise suppression; spatial multistage median filters; spatio-temporal multistage median filters; temporal filters; temporal median filters; time-varying imagery; Filtering; Finite impulse response filter; IIR filters; Image coding; Image resolution; Image restoration; Image sequences; Indexing; Matched filters; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location
Portland, OR
Type
conf
DOI
10.1109/ISCAS.1989.100516
Filename
100516
Link To Document