Total Variation Regularized Low-Rank Tensor Decomposition with nonlocal for single image denoising.
Shengchuan LiYanmei WangQiong LuoKai WangZhi HanYandong TangPublished in: RCAR (2021)
Keyphrases
- single image
- total variation
- tensor decomposition
- low rank
- denoising
- convex optimization
- image denoising
- trace norm
- norm minimization
- low rank matrix
- matrix completion
- noisy images
- image restoration
- super resolution
- multiple images
- regularization term
- interior point methods
- minimization problems
- natural images
- linear combination
- image processing
- missing data
- singular value decomposition
- image deblurring
- least squares
- matrix factorization
- high order
- convex relaxation
- noise level
- high dimensional data
- semi supervised
- data analysis
- video sequences
- multiscale
- feature extraction