Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation

@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}
}
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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