Estimation and identification of two dimensional images

Various algorithms suitable for identifying the parameters of autoregressive image models are discussed and evaluated. These include general and biased compensated least squares procedures, a correlation based algorithm, and procedures involving the simultaneous estimation of both image model coefficients and pixel values. Experiments using real images and random fields, indicate that the correlation based procedure might be most useful for image identification.

[1]  L. Silverman,et al.  Modelling of two-dimensional covariance functions with application to image restoration , 1972, CDC 1972.

[2]  A. Habibi.  Two-dimensional Bayesian estimate of images , 1972 .

[3]  N. Nahi.  Role of recursive estimation in statistical image enhancement , 1972 .

[4]  G. Saridis.  Comparison of six on-line identification algorithms , 1974, Autom..

[5]  D.F. Barbe,et al.  Imaging devices using the charge-coupled concept , 1975, Proceedings of the IEEE.

[6]  J. Woods.  Markov image modeling , 1976 .

[7]  L. Silverman,et al.  Image model representation and line-by-line recursive restoration , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[8]  Howard Kaufman,et al.  Adaptive flight control using optimal linear regulator techniques , 1976, Autom..

[9]  A. Steckl.  INFRARED CHARGE COUPLED DEVICES , 1976 .

[10]  D. Lainiotis,et al.  Partitioning: A unifying framework for adaptive systems, I: Estimation , 1976, Proceedings of the IEEE.

[11]  JOHN w. WOODS,et al.  Kalman filtering in two dimensions , 1977, IEEE Trans. Inf. Theory.

[12]  Michael G. Strintzis,et al.  Dynamic representation and recursive estimation of cyclic and two-dimensional processes , 1978 .

[13]  H. R. Keshavan,et al.  Enhancement of Noisy Images Using an Interpolative Model in Two Dimensions , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  L. Ljung,et al.  Fast calculation of gain matrices for recursive estimation schemes , 1978 .

[15]  Tohru Katayama.  Restoration of Noisy Images Using a Two-Dimensional Linear Model , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  John W. Woods.  Correction to 'Kalman Filtering in Two Dimensions' , 1979, IEEE Trans. Inf. Theory.

[17]  Karl Johan Åström.  Maximum likelihood and prediction error methods , 1980, Autom..

[18]  John W. Woods,et al.  Two-dimensional Kalman filtering , 1981 .