Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery.
Jun FangJing LiYanning ShenHongbin LiShaoqian LiPublished in: IEEE Signal Process. Lett. (2014)
Keyphrases
- compressed sensing
- signal recovery
- super resolution
- image reconstruction
- orthogonal matching pursuit
- computational complexity
- sparse representation
- low resolution
- high resolution
- bayesian networks
- expectation maximization
- image patches
- motion estimation
- image restoration
- feature selection
- least squares
- dictionary learning
- k means
- signal reconstruction
- high quality
- image segmentation