## Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle

- Mário A. T. Figueiredo, José M. N. Leitão
- IEEE Trans. Image Processing
- 1997

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@article{Zerubia1993MeanFA, title={Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation}, author={Josiane Zerubia and Rama Chellappa}, journal={IEEE transactions on neural networks}, year={1993}, volume={4 4}, pages={703-9} }

- Published 1993 in IEEE Trans. Neural Networks
DOI:10.1109/72.238324

The authors consider the problem of edge detection and image estimation in nonstationary images corrupted by additive Gaussian noise. The noise-free image is represented using the compound Gauss-Markov random field developed by F.C. Jeng and J.W. Woods (1990), and the problem of image estimation and edge detection is posed as a maximum a posteriori estimation problem. Since the a posteriori probability function is nonconvex, computationally intensive stochastic relaxation algorithms are… CONTINUE READING

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