Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.
Yao WangJiangjun PengQian ZhaoYee LeungXi-Le ZhaoDeyu MengPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2018)
Keyphrases
- low rank
- total variation
- image restoration
- convex optimization
- regularization method
- regularization methods
- image data
- matrix completion
- low rank matrix
- image processing
- regularization parameter
- regularization term
- super resolution
- minimization problems
- missing data
- markov random field
- least squares
- matrix factorization
- linear combination
- semi supervised
- convex relaxation
- blurred images
- high order
- singular value decomposition
- image reconstruction
- high dimensional data
- multiresolution
- recommender systems
- high dimensional
- machine learning