Riemannian Loss for Image Restoration.
Jing MuXinfeng ZhangShuyuan ZhuRuiqin XiongPublished in: CVPR Workshops (2019)
Keyphrases
- image restoration
- total variation
- edge preserving
- image processing
- super resolution
- markov random field
- regularization parameter
- image deblurring
- blurred images
- total least squares
- low level vision
- regularization method
- gaussian noise
- markov random field models
- wiener filter
- motion blur
- restoration method
- modified hopfield neural network
- computer vision
- iterative image restoration
- degraded images
- loss function
- video sequences
- restoration algorithm
- blind image restoration
- high quality
- image restoration problems