Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations.
Van Ha TangAbdesselam BouzerdoumSon Lam PhungPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- minimization problems
- low rank
- total variation
- nuclear norm
- convex optimization
- group lasso
- low rank matrix
- rank minimization
- compressive sensing
- image restoration
- denoising
- image denoising
- matrix factorization
- missing data
- linear combination
- matrix completion
- image processing
- semi supervised
- singular value decomposition
- random projections
- sparse representation
- high dimensional data
- regularization term
- high order
- structured sparsity
- high dimensional
- wavelet domain
- interior point methods
- norm minimization
- object recognition
- natural images
- image compression
- collaborative filtering