A probabilistic framework for copy-move forgery detection based on Markov Random Field.
Behnaz ElhaminiaAhad HaratiAmirhossein TaheriniaPublished in: Multim. Tools Appl. (2019)
Keyphrases
- markov random field
- discriminative random fields
- pairwise
- higher order
- mrf model
- graph cuts
- image segmentation
- probabilistic model
- parameter estimation
- belief propagation
- bayesian networks
- random fields
- energy minimization
- bayesian framework
- maximum a posteriori
- energy function
- image restoration
- detection algorithm
- edge preserving
- potential functions
- image quality
- mrf models
- multiresolution