A structural low rank regularization method for single image super-resolution.
Jialin PengBenny Y. C. HonDexing KongPublished in: Mach. Vis. Appl. (2015)
Keyphrases
- low rank
- regularization method
- image restoration
- convex optimization
- missing data
- linear combination
- regularization parameter
- singular value decomposition
- high dimensional data
- semi supervised
- high order
- super resolution
- partial differential equations
- total variation
- sparse coding
- sparse representation
- low resolution
- dictionary learning
- image sequences
- text classification
- bayesian framework
- cross validation
- small number
- image processing