Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation.
Haijin ZengXiaozhen XieJifeng NingPublished in: CoRR (2020)
Keyphrases
- image restoration
- total variation
- convex optimization
- total least squares
- regularization methods
- regularization method
- image restoration problems
- edge preserving
- restored image
- regularization term
- matrix completion
- markov random field
- low rank
- image deblurring
- super resolution
- image denoising
- minimization problems
- image processing
- blurred images
- regularization parameter
- denoising
- image data
- mumford shah
- motion blur
- objective function
- primal dual
- least squares
- object recognition
- pattern recognition
- dimensionality reduction
- principal component analysis
- machine learning