SEQUENTIAL KALMAN FILTER FOR IMAGE RESTORATION.

An adaptive Kalman filter for restoring noisy images is presented. This filter is initially derived from a stationary causal image model. In order to improve the visual quality of the restored images, a local spatial activity function is proposed and is incorporated in the implementation of the filter. Experiments show that the restored images have better visual quality than an ordinary Kalman filter.