Non-additive image steganographic framework based on variational inference in Markov Random Fields.
Behnaz AbdollahiAhad HaratiAmirhossein TaheriniaPublished in: J. Inf. Secur. Appl. (2022)
Keyphrases
- markov random field
- energy function
- random fields
- image segmentation
- image analysis
- input image
- graph cuts
- multiscale
- bayesian framework
- energy minimization
- belief propagation
- image restoration
- maximum a posteriori
- higher order
- variational inference
- high resolution
- segmentation method
- variational methods
- computer vision
- parameter estimation
- information extraction
- message passing
- image matching
- pixel values
- conditional random fields
- co occurrence