Image Recovery Using the EM Algorithm

[1]  Aggelos K. Katsaggelos,et al.  Simultaneous multichannel image restoration and estimation of the regularization parameters , 1997, IEEE Trans. Image Process..

[2]  Nikolas P. Galatsanos,et al.  Projection-based spatially adaptive reconstruction of block-transform compressed images , 1995, IEEE Trans. Image Process..

[3]  Nikolas P. Galatsanos,et al.  Regularized Multichannel Restoration Using Cross-Validation , 1995, CVGIP Graph. Model. Image Process..

[4]  Nikolas P. Galatsanos,et al.  Reconstruction of a high resolution image from registration and restoration of low resolution images , 1994, Proceedings of 1st International Conference on Image Processing.

[5]  Ken D. Sauer,et al.  Maximum likelihood scale estimation for a class of Markov random fields , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Nikolas P. Galatsanos,et al.  Regularized reconstruction to remove blocking artifacts from block discrete cosine transform compressed images , 1993, Other Conferences.

[7]  Jun Zhang,et al.  The mean field theory in EM procedures for blind Markov random field image restoration , 1993, IEEE Trans. Image Process..

[8]  Nikolas P. Galatsanos,et al.  Least squares restoration of multichannel images , 1991, IEEE Trans. Signal Process..

[9]  Nikolas P. Galatsanos,et al.  Restoration of color images by multichannel Kalman filtering , 1991, IEEE Trans. Signal Process..

[10]  J. W. Modestino,et al.  the Mean Field Theory in EM Procedures for Markov Random Fields , 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

[11]  Eric Dubois,et al.  Comparison of stochastic and deterministic solution methods in Bayesian estimation of 2D motion , 1990, Image Vis. Comput..

[12]  A. M. Tekalp,et al.  Multichannel image modeling and Kalman filtering for multispectral image restoration , 1990 .

[13]  Nikolas P. Galatsanos,et al.  Digital restoration of multichannel images , 1989, IEEE Trans. Acoust. Speech Signal Process..

[14]  T. Hebert,et al.  A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors. , 1989, IEEE transactions on medical imaging.

[15]  Aggelos K. Katsaggelos,et al.  Iterative identification and restoration of images , 1990, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[16]  Ehud Weinstein,et al.  Parameter estimation of superimposed signals using the EM algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..

[17]  D. Chandler,et al.  Introduction To Modern Statistical Mechanics , 1987 .

[18]  Roland T. Chin,et al.  Restoration of Multichannel Microwave Radiometric Images , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  B. R. Hunt,et al.  Karhunen-Loeve multispectral image restoration, part I: Theory , 1984 .

[21]  New York Dover,et al.  ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .

[22]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[23]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[24]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .