Title :
A full-plane block Kalman filter for image restoration
Author :
Citrin, Stuart ; Azimi-Sadjadi, Mahmood R.
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Ft. Collins, CO, USA
fDate :
10/1/1992 12:00:00 AM
Abstract :
A two-dimensional method which uses a full-plane image model to generate a more accurate filtered estimate of an image that has been corrupted by additive noise and full-plane blur is presented. Causality is maintained within the filtering process by using multiple concurrent block estimators. In addition, true state dynamics are preserved, resulting in an accurate Kalman gain matrix. Simulation results on a test image corrupted by additive white Gaussian noise are presented for various image models and compared to those of the previous block Kalman filtering methods
Keywords :
Kalman filters; filtering and prediction theory; image reconstruction; two-dimensional digital filters; Kalman gain matrix; additive noise; additive white Gaussian noise; block Kalman filter; causality; full-plane blur; full-plane image model; image restoration; multiple concurrent block estimators; true state dynamics; two-dimensional method; Additive noise; Additive white noise; Covariance matrix; Filtering; Image generation; Image restoration; Kalman filters; State estimation; Testing; Two dimensional displays;
Journal_Title :
Image Processing, IEEE Transactions on
