Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal.
Kyong Hwan JinJong Chul YePublished in: CoRR (2015)
Keyphrases
- low rank
- tensor decomposition
- impulse noise removal
- low rank matrix
- rank minimization
- nuclear norm
- low rank matrices
- convex optimization
- low rank approximation
- singular value decomposition
- kernel matrices
- matrix decomposition
- missing data
- matrix completion
- robust principal component analysis
- anisotropic diffusion
- linear combination
- matrix factorization
- high order
- high dimensional data
- semi supervised
- low rank and sparse
- total variation
- kernel matrix
- trace norm
- regularized regression
- data matrix
- binary matrix
- image deblurring
- singular values
- affinity matrix
- sparse matrix
- high dimensional
- noise reduction
- image restoration
- nearest neighbor