Abstract:
An iterative algorithm of the inverse Radon transform for disturbed data is proposed. The algorithm is based on the Neumann series decomposition of the inverse operator. Numerical simulation of disturbance variations in the Radon space is discussed. The steganography problem when an image is hidden in another one is studied as a possible application of this algorithm.