An overview of inverse problem regularization using sparsity.
Jean-Luc StarckMohamed-Jalal FadiliPublished in: ICIP (2009)
Keyphrases
- mixed norm
- sparse approximation
- sparsity inducing
- multi class
- high dimensional
- convex loss functions
- parameter selection
- regularization parameter
- regularization term
- sparsity constraints
- total least squares
- group lasso
- loss function
- regularization method
- current status
- tensor factorization
- image reconstruction
- sparse representation
- norm regularization
- structured sparsity
- reproducing kernel hilbert space
- image restoration
- image processing