Cauchy Markov random field priors for Bayesian inversion.
Jarkko SuuronenNeil K. ChadaLassi RoininenPublished in: Stat. Comput. (2022)
Keyphrases
- markov random field
- maximum a posteriori
- image prior
- prior distribution
- posterior distribution
- prior model
- map estimation
- heavy tailed
- maximum likelihood
- mrf model
- dirichlet process mixture
- random fields
- bayesian framework
- image restoration
- higher order
- belief propagation
- parameter estimation
- graph cuts
- image segmentation
- hyperparameters
- image reconstruction
- energy function
- energy minimization
- labeling problems
- pairwise
- conditional random fields
- bayesian estimation
- higher order cliques
- message passing
- edge preserving
- posterior probability
- smoothness prior
- generalized gaussian
- neighboring pixels
- prior information
- bayesian inference
- potential functions
- hierarchical bayesian
- mrf optimization
- spatial continuity
- super resolution
- logic programs
- textured images
- label field
- probability density function
- genetic algorithm