Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery.
Jun FangJing LiYanning ShenHongbin LiShaoqian LiPublished in: CoRR (2014)
Keyphrases
- compressed sensing
- signal recovery
- super resolution
- image reconstruction
- orthogonal matching pursuit
- projections onto convex sets
- high resolution
- bayesian networks
- computational complexity
- input data
- random projections
- image restoration
- graphical models
- motion estimation
- high quality
- data sets
- em algorithm
- generative model
- higher order
- sparse representation
- least squares
- fourier domain
- multiscale
- similarity measure
- image segmentation