High-order Markov random field for single depth image super-resolution.
Elham ShabaniniaAhmad Reza Naghsh-NilchiShohreh KasaeiPublished in: IET Comput. Vis. (2017)
Keyphrases
- markov random field
- high order
- image super resolution
- maximum a posteriori
- map estimation
- higher order
- smoothness prior
- pairwise
- graph cuts
- image restoration
- mrf model
- belief propagation
- energy function
- image segmentation
- parameter estimation
- low resolution
- edge preserving
- conditional random fields
- prior model
- dictionary learning
- super resolution
- high resolution
- natural images
- image processing
- high quality
- kernel regression
- low resolution images
- multiscale
- video sequences
- depth information
- bayesian framework
- object recognition
- sparse representation