Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration.
Yunjin ChenThomas PockRené RanftlHorst BischofPublished in: GCPR (2013)
Keyphrases
- image restoration
- markov random field
- low level vision
- total variation
- edge preserving
- regularization parameter
- restoration algorithm
- higher order
- image processing
- super resolution
- image deconvolution
- total least squares
- low level vision problems
- wiener filter
- image deblurring
- iterative image restoration
- blurred images
- image segmentation
- pairwise
- image restoration problems
- restoration method
- parameter estimation
- modified hopfield neural network
- adaptive neighborhood
- blur identification
- energy function
- point spread function
- mrf model
- gaussian noise
- random fields
- high order
- sparse representation
- image prior
- graph cuts
- belief propagation
- kernel estimation
- multiscale
- motion blur