Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization.
Marko FilipovicPublished in: ICASSP (2014)
Keyphrases
- signal reconstruction
- compressive sensing
- compressed sensing
- low rank matrices
- image reconstruction
- objective function
- signal processing
- random projections
- multiview reconstruction
- sparse signal representation
- global optimization
- sparse representation
- convex optimization
- image restoration and reconstruction
- orthogonal matching pursuit
- convex functions
- poisson noise
- robust principal component analysis
- high resolution
- noise free
- independent component analysis
- stationary points
- optimization problems
- tomographic reconstruction
- joint optimization
- sparse data
- range images
- discrete tomography
- additive gaussian noise
- natural images
- shape recovery
- binary matrices
- time of flight
- signal recovery
- reconstruction method
- image sequences
- three dimensional