Radioastronomical Least Squares image reconstruction with iteration regularized Krylov subspaces and beamforming-based prior conditioning.
Shahrzad NaghibzadehAlle-Jan van der VeenPublished in: ICASSP (2017)
Keyphrases
- image reconstruction
- least squares
- maximum a posteriori
- reconstructed image
- super resolution
- compressed sensing
- radon transform
- computed tomography
- optical flow
- emission computed tomography
- reconstruction method
- tomographic reconstruction
- inverse problems
- emission tomography
- image reconstruction algorithms
- signal reconstruction
- principal component analysis
- reconstruction process
- high dimensional
- sampled data
- objective function
- zernike moments
- random projections
- data points
- low dimensional
- prior information
- frequency domain
- image sequences
- sparsely sampled
- natural images
- high dimensional data