Computation of Bayesian Estimators for Markov Random Field Image Models Using the Cluster Approximation.
Chi-hsin WuPeter C. DoerschukPublished in: ICIP (3) (1994)
Keyphrases
- markov random field
- random fields
- mrf models
- gauss markov random fields
- mrf model
- neighboring pixels
- bayesian estimation
- parameter estimation
- prior model
- image segmentation
- energy function
- maximum a posteriori
- potential functions
- map estimation
- textured images
- bayesian framework
- graph cuts
- image prior
- belief propagation
- image restoration
- partition function
- maximum entropy
- texture model
- higher order
- conditional random fields
- posterior distribution
- mrf optimization
- labeling problems
- markov random field model
- long range
- energy minimization
- multiscale
- pairwise
- clustering algorithm
- prior distribution
- spatial continuity
- label field
- maximum a posterior
- image pixels
- closed form
- gibbs distribution
- maximum a posteriori probability
- gibbs energy
- markov fields
- prior knowledge
- high resolution
- probabilistic model
- input image
- maximum likelihood
- spatial information
- prior information