Bayesian compressed sensing of a highly impulsive signal in heavy-tailed noise using a multivariate Cauchy prior.
George TzagkarakisPanagiotis TsakalidesPublished in: EUSIPCO (2009)
Keyphrases
- heavy tailed
- compressed sensing
- prior distribution
- image reconstruction
- maximum a posteriori
- signal processing
- posterior distribution
- bayesian framework
- random projections
- noise reduction
- generalized gaussian
- bayesian inference
- compressive sensing
- gaussian noise
- prior information
- probability distribution
- bayesian methods
- generative model
- probability density function
- sparse representation
- noise free
- signal to noise ratio
- noise model
- posterior probability
- noise level
- natural images
- super resolution
- latent variables
- hyperparameters
- high frequency
- frequency domain
- median filter
- impulse noise
- feature extraction
- dimension reduction
- image restoration
- multiresolution
- high quality