MAP image restoration and segmentation by constrained optimization

The combinatorial optimization problem of MAP estimation is converted to one of constrained real optimization and then solved by using the proposed augmented Lagrange–Hopfield (ALH) method. The ALH effectively overcomes instabilities that are inherent in the penalty method or the Lagrange multiplier method in constrained optimization. It produces good solutions with reasonable costs.