A Low-Rank Approach to Off-the-Grid Sparse Superresolution.
Paul CatalaVincent DuvalGabriel PeyréPublished in: SIAM J. Imaging Sci. (2019)
Keyphrases
- low rank
- super resolution
- low rank matrix
- rank minimization
- low rank matrices
- low resolution
- low rank representation
- robust principal component analysis
- high resolution
- regularized regression
- missing data
- convex optimization
- linear combination
- matrix factorization
- image reconstruction
- matrix completion
- low resolution images
- singular value decomposition
- high order
- high dimensional data
- semi supervised
- image restoration
- high quality
- motion estimation
- sparse matrix
- sparse coding
- imaging process
- high dimensional
- light field
- image patches
- multi frame
- computer vision
- sparse representation
- image data
- pairwise