A state-space identification for linear image processing

A method for the identification of unknown parameters for a general two-dimensional model of images is presented. One of the advantages of the technique is that the enhanced images can be directly obtained from noisy models. Simulation results have shown the feasibility of the proposed method for adaptation, as well as enhancement, of digital images.<<ETX>>