Weighted and structured sparse total least-squares for perturbed compressive sampling.
Hao ZhuGeorgios B. GiannakisGeert LeusPublished in: ICASSP (2011)
Keyphrases
- compressive sampling
- total least squares
- compressive sensing
- compressed sensing
- regularized least squares
- sparse representation
- image restoration
- random projections
- coefficient matrix
- image reconstruction
- original data
- orthogonal matching pursuit
- transform domain
- interior point methods
- higher order
- high dimensional
- natural images
- discrete fourier transform
- image processing
- signal processing
- high resolution
- image sequences