Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition.
Yao WangJiangjun PengQian ZhaoDeyu MengYee LeungXi-Le ZhaoPublished in: CoRR (2017)
Keyphrases
- low rank
- total variation
- image restoration
- convex optimization
- regularization method
- regularization methods
- low rank matrix
- image data
- super resolution
- regularization parameter
- minimization problems
- regularization term
- matrix completion
- missing data
- least squares
- high order
- singular value decomposition
- image processing
- matrix factorization
- linear combination
- markov random field
- blurred images
- semi supervised
- computer vision
- high dimensional data
- natural images
- support vector