A general framework for a class of non-linear approximations with applications to image restoration.
Vicente F. CandelaAntonio FalcóPantaleón D. RomeroPublished in: J. Comput. Appl. Math. (2018)
Keyphrases
- image restoration
- edge preserving
- total variation
- markov random field
- image processing
- super resolution
- image deblurring
- iterative image restoration
- regularization method
- adaptive neighborhood
- total least squares
- blurred images
- regularization parameter
- motion blur
- linear shift invariant
- degraded images
- low level vision
- restoration algorithm
- potential functions
- image deconvolution
- gaussian noise
- wiener filter
- kernel estimation
- blur identification
- blind image restoration
- image restoration problems
- modified hopfield neural network
- markov random field models
- noise reduction
- image denoising
- higher order