Sparse and Cosparse Audio Dequantization Using Convex Optimization.
Pavel ZáviskaPavel RajmicPublished in: CoRR (2020)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- low rank matrix
- interior point methods
- low rank
- total variation
- low rank textures
- primal dual
- post processing
- convex relaxation
- high dimensional
- convex optimization problems
- signal processing
- norm minimization
- group lasso
- compressed sensing
- image processing
- random projections
- sparse representation
- convex formulation
- high quality
- sparse coding
- image denoising
- image restoration
- denoising
- video sequences
- semidefinite program
- operator splitting
- computer vision