Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation.
Haijin ZengXiaozhen XieJifeng NingPublished in: IGARSS (2020)
Keyphrases
- image restoration
- total variation
- convex optimization
- total least squares
- regularization methods
- regularization method
- image restoration problems
- edge preserving
- regularization parameter
- image deblurring
- image processing
- super resolution
- restored image
- matrix completion
- objective function
- minimization problems
- regularization term
- low rank
- blurred images
- markov random field
- image denoising
- motion blur
- image data
- convex relaxation
- high quality
- interior point methods
- image compression