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A full-plane block Kalman filter for image restoration

Date

1992

Authors

Citrin, Stuart, author
Azimi-Sadjadi, Mahmood R., author
IEEE, publisher

Journal Title

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Volume Title

Abstract

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.

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Subject

two-dimensional digital filters
image reconstruction
Kalman filters
filtering and prediction theory

Citation

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