Title :
A full plane block Kalman filter for image estimation
Author :
Citrin, Stuart ; Azimi-Sadjadi, Mahmood R.
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
Abstract :
A method of two-dimensional block Kalman filtering using a full plane model is presented. The filter uses a full plane model, yet it maintains causality within the actual filter by using multiple estimators. Using this method the sizes of the state and error covariance matrices are reduced to a computationally feasible size. Simulation results are provided for the case of filtering an image corrupted by 5-dB additive Gaussian noise
Keywords :
Kalman filters; computerised picture processing; 5 dB; additive Gaussian noise; causality; error covariance matrices; full plane block Kalman filter; full plane model; image estimation; multiple estimators; two-dimensional block Kalman filtering; Autocorrelation; Covariance matrix; Equations; Filtering; Kalman filters; Parameter estimation; Pixel; Strips;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112192
