Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition.
Xiangyang KongYongqiang ZhaoJonathan Cheung-Wai ChanJize XuePublished in: Remote. Sens. (2022)
Keyphrases
- hyperspectral
- total variation
- low rank
- image restoration
- convex optimization
- regularization method
- regularization methods
- minimization problems
- low rank matrix
- matrix completion
- image data
- image processing
- regularization term
- markov random field
- missing data
- super resolution
- linear combination
- regularization parameter
- convex relaxation
- high dimensional data
- high order
- singular value decomposition
- matrix factorization
- blurred images
- semi supervised
- least squares
- machine learning
- pairwise
- denoising
- image denoising
- mumford shah
- high dimensional
- moving objects
- image quality