Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation.
Yunyi LiLi LiuYu ZhaoXiefeng ChengGuan GuiPublished in: CoRR (2019)
Keyphrases
- compressed sensing
- sparse representation
- low rank
- image classification
- orthogonal matching pursuit
- low rank matrix recovery
- image representation
- convex optimization
- image reconstruction
- high dimensional data
- random projections
- dictionary learning
- norm minimization
- image features
- sparse coding
- natural images
- image data
- fourier domain
- multiscale
- input image
- image patches
- dimensionality reduction
- matrix completion
- linear combination
- face recognition
- high resolution
- compressive sensing
- matrix factorization
- image retrieval
- low rank matrix
- signal recovery
- neural network
- high order
- missing data
- data points
- signal processing
- similarity measure
- data sets
- low dimensional
- image processing
- higher order
- low rank and sparse
- nearest neighbor