From Bernoulli-Gaussian Deconvolution to Sparse Signal Restoration.
Charles SoussenJérôme IdierDavid BrieJunbo DuanPublished in: IEEE Trans. Signal Process. (2011)
Keyphrases
- image restoration
- compressive sensing
- wiener filter
- signal recovery
- impulse response
- wiener filtering
- blind deconvolution
- signal processing
- signal reconstruction
- gaussian noise
- denoising
- image deblurring
- additive gaussian noise
- point spread function
- fir filters
- compressive sampling
- blurred images
- poisson distribution
- image deconvolution
- image prior
- gaussian white noise
- high signal to noise ratio
- least squares
- sparse representation
- frequency domain
- compressed sensing
- fourier analysis
- restored image
- super resolution
- noisy images
- zero crossing
- random projections
- real valued
- linear transform
- multiscale
- maximum likelihood
- image reconstruction
- non stationary
- linear filters
- regularization parameter
- graphical models
- markov random field
- motion blur
- total variation
- restoration method
- noise reduction
- additive noise
- restoration algorithm
- minimum variance
- degraded images
- inverse problems
- gaussian process
- independent component analysis
- basis functions
- high frequency
- mixture model
- high dimensional