Nonconvex nonsmooth low-rank minimization for generalized image compressed sensing via group sparse representation.
Yunyi LiLi LiuYu ZhaoXiefeng ChengGuan GuiPublished in: J. Frankl. Inst. (2020)
Keyphrases
- object recognition
- sparse representation
- image representation
- compressed sensing
- low rank matrix recovery
- low rank
- natural images
- image features
- image classification
- orthogonal matching pursuit
- dictionary learning
- sparse coding
- random projections
- convex optimization
- image reconstruction
- norm minimization
- signal recovery
- low rank and sparse
- high dimensional data
- fourier domain
- compressive sensing
- matrix factorization
- input image
- face recognition
- matrix completion
- image data
- linear combination
- singular value decomposition
- image patches
- low rank matrix
- image segmentation
- dimensionality reduction
- multiscale
- regularization term
- missing data
- small number
- semi supervised
- image retrieval
- pattern recognition
- similarity measure
- data mining