Compressed sensing MRI using Singular Value Decomposition based sparsity basis.
Yeyang YuMingjian HongFeng LiuHua WangStuart CrozierPublished in: EMBC (2011)
Keyphrases
- singular value decomposition
- compressed sensing
- compressive sampling
- sparse representation
- image reconstruction
- random projections
- dimensionality reduction
- dimension reduction
- singular values
- least squares
- principal component analysis
- compressive sensing
- orthogonal matching pursuit
- natural images
- signal processing
- low rank
- sparse coding
- high dimensional data
- face recognition
- computer vision
- image registration
- fourier transform
- high dimensional