Nonconvex Penalized Regularization for Robust Sparse Recovery in the Presence of SαS Noise.
Yunyi LiYun LinXiefeng ChengZhuolei XiaoFeng ShuGuan GuiPublished in: IEEE Access (2018)
Keyphrases
- rank minimization
- image noise
- robust principal component analysis
- noisy environments
- least squares
- impulse noise removal
- objective function
- geometric distortions
- noisy data
- convex optimization
- salt pepper
- imaging artifacts
- low rank matrices
- sparsity regularization
- half quadratic
- registration errors
- noise model
- noise level
- robust statistics
- elastic net
- sparsity constraints
- anisotropic diffusion
- greater robustness
- mixed norm
- low rank
- missing data
- maximum likelihood
- high dimensional