A 2-D adaptive diagonal block Kalman filter for nonsymmetric half plane image models

A 2-D diagonal block recursive representation for 2-D autoregressive (AR) image models with nonsymmetric half-plane (NSHP) regions of support that does not have noncausality problems is introduced. The relevant 2-D block Kalman filter equations are used to obtain suboptimal block filtered estimates for the blurred and noisy image. A recursive parameter identification scheme can be used online to update the model parameters at each processing window suggested. Simulation results are presented