Attentive Fine-Grained Structured Sparsity for Image Restoration.
Junghun OhHeewon KimSeungjun NahCheeun HongJonghyun ChoiKyoung Mu LeePublished in: CoRR (2022)
Keyphrases
- image restoration
- fine grained
- structured sparsity
- regularization methods
- total variation
- edge preserving
- regularization parameter
- compressive sensing
- markov random field
- super resolution
- access control
- image processing
- image deblurring
- learning problems
- regularization method
- visual attention
- blurred images
- convex optimization
- image reconstruction
- maximum a posteriori
- image representation
- high quality