Greedy algorithms for image approximation from scattered Radon data

Positive definite kernels are powerful tools for multivariate approximation from scattered data. This contribution discusses kernel-based image Radon To this end, we use weighted the reconstruction. Moreover, propose greedy algorithms, which used to adaptively select suitable spaces. reduces complexity of resulting reconstruction method and, moreover, it improves numerical stability quite significantly.