Random Weights Networks Work as Loss Prior Constraint for Image Restoration.
Man ZhouNaishan ZhengJie HuangXiangyu RuiChunle GuoDeyu MengChongyi LiJinwei GuPublished in: CoRR (2023)
Keyphrases
- image restoration
- total variation
- edge preserving
- image prior
- image processing
- super resolution
- markov random field
- blurred images
- image deblurring
- blur identification
- wiener filter
- restoration algorithm
- prior knowledge
- blind image restoration
- iterative image restoration
- gaussian noise
- markov random field models
- image deconvolution
- adaptive neighborhood
- low level vision
- motion blur
- neural network
- point spread function
- restoration method
- kernel estimation
- linear combination
- image restoration problems
- modified hopfield neural network
- edge detection
- high resolution
- computer vision