Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling.
Parichat SermwuthisarnSupatana AuethavekiatDuangrat GansawatVorapoj PatanavijitPublished in: EURASIP J. Adv. Signal Process. (2012)
Keyphrases
- compressed sensing
- orthogonal matching pursuit
- gaussian noise
- image reconstruction
- signal recovery
- denoising
- compressive sampling
- sparse representation
- random projections
- natural images
- transform domain
- signal to noise ratio
- noisy images
- noise level
- compressive sensing
- signal processing
- fourier domain
- noise model
- greedy algorithm
- image restoration
- image representation