Radon transforms via truncated singular value decomposition

Todor I. Todorov, Gary F. Margrave, John C. Bancroft

The Radon transform is a common tool used to attenuate multiple energy. The least-squares implementation commonly used introduces artifacts and alters the amplitudes of the primary events. A high-resolution methodology is developed based on the truncated singular value decomposition (TSVD). A synthetic example shows that the TSVD implementation is superior, leads to fewer artifacts, and removes multiples more effectively.