A full-plane block Kalman filter for image restoration Citrin, Stuart ; Azimi-Sadjadi, Mahmood R. A new two-dimensional (2-D) block Kalman filtering method is presented 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. Causality is maintained within the filtering process by employing 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. Colorado State University. Libraries 1992 text ; image application/pdf ECEmra00017.pdf FACFECEN100497ARTI eng c1992 IEEE
A full-plane block Kalman filter for image restoration
Citrin, Stuart ; Azimi-Sadjadi, Mahmood R.
A new two-dimensional (2-D) block Kalman filtering method is presented 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. Causality is maintained within the filtering process by employing 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.
Colorado State University. Libraries
1992
text ; image
application/pdf
ECEmra00017.pdf
FACFECEN100497ARTI
eng
c1992 IEEE