Low-Rank Regularized Joint Sparsity for Image Denoising.
Zhiyuan ZhaBihan WenXin YuanJiantao ZhouCe ZhuPublished in: ICIP (2021)
Keyphrases
- image denoising
- low rank
- sparsity constraints
- convex optimization
- total variation
- denoising
- trace norm
- noisy images
- matrix factorization
- missing data
- natural images
- image processing
- linear combination
- low rank matrix
- singular value decomposition
- matrix completion
- group lasso
- semi supervised
- partial differential equations
- high dimensional data
- high order
- wavelet coefficients
- rank minimization
- minimization problems
- regularization term
- singular values
- sparsity inducing
- regularized regression
- collaborative filtering
- sparse coding
- least squares
- nuclear norm
- norm minimization
- convex relaxation
- optical flow
- recommender systems
- feature extraction