Total Variation Regularized Low-Rank Tensor Approximation for Color Image Denoising.
Yongyong ChenYicong ZhouPublished in: SMC (2018)
Keyphrases
- color image denoising
- total variation
- trace norm
- low rank
- convex optimization
- image denoising
- denoising
- image restoration
- regularization term
- norm minimization
- matrix completion
- regularization methods
- image processing
- minimization problems
- edge preserving
- interior point methods
- low rank matrix
- high order
- image deblurring
- linear combination
- missing data
- singular value decomposition
- semi supervised
- natural images
- tensor voting
- matrix factorization
- noisy images
- mumford shah functional
- high dimensional data
- active learning
- mumford shah
- computer vision