From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations.
Rafael MolinaMiguel VegaAggelos K. KatsaggelosPublished in: ICIP (1) (2007)
Keyphrases
- parameter estimation
- image restoration
- markov random field
- posterior distribution
- maximum likelihood
- image segmentation
- parameters estimation
- image prior
- variational methods
- approximate inference
- edge preserving
- random fields
- total variation
- model selection
- least squares
- belief propagation
- graph cuts
- higher order
- gauss markov
- gaussian distribution
- maximum a posteriori
- image deblurring
- parameter estimation algorithm
- image processing
- linear shift invariant
- regularization parameter
- mrf model
- bayesian estimation
- em algorithm
- maximum likelihood estimation
- pairwise
- hyperparameters
- energy function
- markov fields
- super resolution
- regularization method
- probability distribution
- conditional random fields
- blurred images
- expectation maximization
- motion blur
- random variables
- marginal distributions
- optical flow
- bayesian networks
- machine learning