Azimi-Sadjadi, Mahmood R., authorBannour, Sami, authorIEEE, publisher2007-01-032007-01-031991Azimi-Sadjadi, Mahmood R. and Sami Bannour, Two-Dimensional Recursive Parameter Identification for Adaptive Kalman Filtering, IEEE Transactions on Circuits and Systems 38, no. 9 (September 1991): 1077-1081.http://hdl.handle.net/10217/1018This paper is concerned with the development of a 2-D adaptive Kalman filtering by recursive adjustment of the parameters of an autoregressive (AR) image model with non symmetric half-plane (NSHP) region of support. The image and degradation models are formulated in a 2-D state-space model, for which the relevant 2-D Kalman filtering equations are given. The recursive parameter identification is achieved using the extension of the stochastic Newton approach to the 2-D case. This process can be implemented on-line to estimate the image model parameters based upon the local statistics in every processing window. Simulation results for removing an additive noise from a degraded image are also presented.born digitalarticleseng©1991 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.two-dimensional digital filtersadaptive filtersparameter estimationpicture processingstate-space methodsKalman filtersfiltering and prediction theoryText