A low-complexity Bayesian approach to large-scale sparse image reconstruction with structured constraints.
Shaoyang LiXiaoming TaoJianhua LuPublished in: GLOBECOM (2014)
Keyphrases
- image reconstruction
- low complexity
- compressed sensing
- reconstructed image
- signal reconstruction
- super resolution
- random projections
- motion estimation
- computational complexity
- spatial resolution
- emission computed tomography
- distributed video coding
- inverse problems
- radon transform
- tomographic reconstruction
- reconstruction method
- image restoration
- limited angle
- emission tomography
- image reconstruction algorithms
- sparse representation
- image data
- lower complexity
- sparsely sampled
- sparse coding
- motion compensation
- signal processing
- image processing
- computer vision