Quantization constrained convex optimization for the compressive sensing reconstructions.
Dong Sik KimPublished in: ICASSP (2010)
Keyphrases
- convex optimization
- compressive sensing
- random projections
- sparse representation
- interior point methods
- image reconstruction
- low rank
- image representation
- primal dual
- convex relaxation
- total variation
- signal processing
- convex optimization problems
- convex sets
- data sets
- multiscale
- compressed sensing
- trace norm
- nearest neighbor
- pattern recognition
- high quality
- machine learning