An iterative algorithm for two-dimensional tomographic reconstruction based on wavelet filtration

In this study, we consider a modification of the iterative algorithm based on Neumann series and wavelet filtration at each step. Numerical simulation showed that a better reconstruction quality can be achieved in the few-view tomography problem by our new algorithm compared to the Gerchberg–Papoulis, maximum entropy and filtered backprojection algorithms. This conclusion was obtained both for smooth models and for stepwise ones.