Simultaneous Estimation of a System Matrix by Compressed Sensing and Finding Optimal Regularization Parameters for the Inversion Problem.
Marco MaaßPhilipp KochFabrice KatzbergAlfred MertinsPublished in: EUSIPCO (2018)
Keyphrases
- finding optimal
- compressed sensing
- image reconstruction
- regularization parameter
- generalized cross validation
- orthogonal matching pursuit
- random projections
- image restoration
- super resolution
- natural images
- sparse representation
- signal processing
- noise level
- radon transform
- cross validation
- hyperparameters
- singular value decomposition
- sample size
- computational complexity