MAP image restoration and segmentation by constrained optimization

  • Authors:
  • S. Z. Li

  • Affiliations:
  • Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1998

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Abstract

The combinatorial optimization problem of MAP estimation is converted to one of constrained real optimization and then solved by using the augmented Lagrange-Hopfield (ALH) method proposed in 1984. 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