DocumentCode
388082
Title
A new approach to 2-D Kalman filtering
Author
Min, Jiang ; Xiang, Chen S.
Author_Institution
Tsing Hua University, Beijing, China
Volume
12
fYear
1987
fDate
31868
Firstpage
1232
Lastpage
1235
Abstract
A new approach is made to 2-D Kalman filtering, which consists of three parts sequentially. First, we simplify the model of the reduced update kalman filter (RUKF) further. Then, we present a fast recursive least-sequare identification (FRLSI) to estimate paramenters of space-variant images on-line. Finally, we design a genearalized likelihood ratio (GLR) edge detector to eliminate the edge smear. Experiment shows that our improvements are feasible in practice and give better results.
Keywords
Detectors; Equations; Filtering; Image edge detection; Image processing; Image restoration; Image storage; Kalman filters; Nonlinear filters; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type
conf
DOI
10.1109/ICASSP.1987.1169775
Filename
1169775
Link To Document