Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
Hao ZhuGeert LeusGeorgios B. GiannakisPublished in: CoRR (2010)
Keyphrases
- compressive sampling
- total least squares
- compressive sensing
- compressed sensing
- image restoration
- sparse representation
- regularized least squares
- image reconstruction
- random projections
- interior point methods
- original data
- signal processing
- orthogonal matching pursuit
- natural images
- image processing
- data sets
- discrete fourier transform
- feature vectors
- image representation
- nearest neighbor
- feature space