1-D Filter for Ring Artifact Suppression

Abstract

Reconstruction algorithms in X-ray tomography provide a user with a set of images. For many scientific problems, these images should be segmented. Ring artifacts are the most noticeable artifacts that do not allow a scientist to achieve acceptable segmentation especially in case of noisy input data. Several ring artifact suppression methods based on theory of ill-posed problems exist. In this letter, the basic ring artifact suppression algorithm is rewritten as a 1-D filter, so it does not require separate data processing and can be combined with standard filtering used in filtered backprojection (FBP) algorithms.