Single image super resolution via manifold linear approximation using sparse subspace clustering.
Chinh T. DangMohammad AghagolzadehAbdolreza Abdolhosseini MoghadamHayder RadhaPublished in: GlobalSIP (2013)
Keyphrases
- subspace clustering
- linear approximation
- high dimensional
- sparse coding
- locality preserving projections
- high dimensional data
- manifold structure
- sparse representation
- linear subspace
- dictionary learning
- low dimensional
- manifold learning
- clustering method
- dimensionality reduction
- lower dimensional
- subspace learning
- basis functions
- high dimensionality
- feature space
- image classification
- clustering algorithm
- compressive sensing
- dimension reduction
- linear combination
- generative model
- natural images
- super resolution
- data points
- original data
- linear discriminant analysis
- data mining
- euclidean space
- low resolution