Hybrid regularization for compressed sensing MRI: Exploiting shearlet transform and group-sparsity total variation.
Ryan Wen LiuLin ShiSimon C. H. YuDefeng WangPublished in: FUSION (2017)
Keyphrases
- total variation
- compressed sensing
- structured sparsity
- regularization methods
- regularization term
- image restoration
- denoising
- natural images
- image reconstruction
- image denoising
- convex optimization
- group lasso
- random projections
- sparse representation
- compressive sensing
- sparse coding
- mumford shah
- inverse problems
- image processing
- super resolution
- signal processing
- regularization method
- high quality
- noisy images
- edge preserving
- variable selection
- random sampling
- partial differential equations
- image patches
- markov random field
- high dimensional
- image sequences