Sparse Givens resolution of large system of linear equations: Applications to image reconstruction.
María-José Rodríguez-AlvarezFilomeno SánchezAntonio SorianoAmadeo IborraPublished in: Math. Comput. Model. (2010)
Keyphrases
- image reconstruction
- linear equations
- compressed sensing
- sparse matrix
- random projections
- super resolution
- signal reconstruction
- rows and columns
- reconstructed image
- high resolution
- low resolution
- computed tomography
- inverse problems
- radon transform
- spatial resolution
- emission tomography
- reconstruction method
- linear systems
- emission computed tomography
- band limited
- tomographic reconstruction
- image reconstruction algorithms
- gauss seidel method
- computer vision
- reconstruction process
- limited angle
- sparsely sampled
- sampled data
- sparse representation
- linear combination
- high dimensional