Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
Weiyu XuJirong YiSoura DasguptaJian-Feng CaiMathews JacobMyung ChoPublished in: ISIT (2018)
Keyphrases
- super resolution
- norm minimization
- low resolution
- convex optimization
- high resolution
- image reconstruction
- sparse representation
- image restoration
- motion estimation
- unsupervised feature selection
- matrix completion
- interior point methods
- sparse coding
- high quality
- low resolution images
- motion blur
- denoising
- depth map
- light field
- singular value decomposition
- image patches
- data sets
- image classification
- low rank
- total variation
- sparse matrix
- machine learning