Blind Image Restoration Based on Semi-Causal Image Models

Abstract

In this paper, the image identification and restoration algorithm using only observable noisy blurred image based on the so-called semi-causal models is discussed. Our image identification is performed by applying the EM algorithm which is carried out by using the Kalman smoother estimates effectively. Also, we show compensation algorithms due to the approximation of Toeplitz matrices into circulant matrices in our image models.