Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework.
Cheon Yang LeeJae-Ho HanPublished in: BCI (2013)
Keyphrases
- markov random field
- maximum a posteriori
- bayesian framework
- sparse coding
- mrf model
- prior knowledge
- dictionary learning
- generative model
- image prior
- map estimation
- graph cuts
- prior model
- potential functions
- image reconstruction
- parameter estimation
- image restoration
- image classification
- higher order
- hyperparameters
- natural images
- image segmentation
- pairwise
- posterior distribution
- gaussian process
- conditional random fields
- random fields
- sparse representation
- posterior probability
- image denoising
- energy function
- image representation
- maximum likelihood
- active learning
- image sequences