Large-scale structured sparse image reconstruction with correlated multiple-measurement vectors using Bayesian learning.
Shaoyang LiXiaoming TaoYang LiJianhua LuPublished in: PCS (2015)
Keyphrases
- image reconstruction
- bayesian learning
- compressed sensing
- random projections
- signal reconstruction
- model selection
- posterior distribution
- maximum a posteriori
- emission computed tomography
- reconstruction method
- super resolution
- image reconstruction algorithms
- sparse representation
- high dimensional
- cross validation
- limited angle
- motion estimation
- feature vectors
- emission tomography
- image sequences