A Douglas-Rachford Splitting Approach to Compressed Sensing Image Recovery Using Low-Rank Regularization.
Shuangjiang LiHairong QiPublished in: IEEE Trans. Image Process. (2015)
Keyphrases
- compressed sensing
- compressive sensing
- trace norm
- random projections
- low rank
- sparse representation
- rank minimization
- convex optimization
- minimization problems
- image reconstruction
- dimensionality reduction
- matrix factorization
- high dimensional data
- signal processing
- norm minimization
- missing data
- natural images
- linear combination
- matrix completion
- singular value decomposition
- high dimensionality
- low rank matrix
- data sets
- image classification
- semi supervised
- original data
- dimension reduction
- total variation
- low dimensional
- random sampling
- principal component analysis
- pattern recognition
- high order
- hash functions
- high dimensional
- data points
- document clustering
- nearest neighbor
- image representation
- face recognition