Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain
Paul EscandePierre WeissFrançois MalgouyresPublished in: CoRR (2013)
Keyphrases
- spatially varying
- wavelet domain
- blurred images
- image restoration
- spatial domain
- shift invariant
- motion blur
- denoising
- wavelet coefficients
- point spread function
- image deblurring
- wavelet transform
- wiener filter
- multiscale
- multiresolution
- frequency domain
- subband
- total variation
- edge preserving
- image denoising
- blur kernel
- human visual system
- degraded images
- high frequency
- super resolution
- image processing
- alternating minimization
- blind deconvolution
- noisy images
- markov random field
- restored image
- synthetic and real images
- additive noise
- bit rate
- motion estimation
- machine learning
- photometric stereo
- maximum a posteriori
- signal processing
- higher order