An iterative Gibbsian technique for reconstruction of m-ary images
- 1 January 1989
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 22 (6) , 747-761
- https://doi.org/10.1016/0031-3203(89)90011-3
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Image restoration using an estimated Markov modelSignal Processing, 1988
- Probabilistic Solution of Ill-Posed Problems in Computational VisionJournal of the American Statistical Association, 1987
- Estimating Components of Univariate Gaussian Mixtures Using Prony's MethodPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random FieldsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Maximum likelihood discriminant analysis on the plane using a Markovian model of spatial contextPattern Recognition, 1985
- Restoration of binary images using stochastic relaxation with annealingPattern Recognition Letters, 1985
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Mixture Densities, Maximum Likelihood and the EM AlgorithmSIAM Review, 1984
- Markov Random Field Texture ModelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov ChainsThe Annals of Mathematical Statistics, 1970