2-dimensional signals restoration using autoregressive models

This paper presents the results of experiments concerning restoration of blurred 2-dimensional images. An iterative method of interfering signal elimination is proposed. The processing is performed in the complex signal domain using the block estimation method of autoregressive (AR) models, based on the least squares (LS) method. The paper presents also simulation results versus different environmental conditions.