Ring artifacts correction in compressed sensing tomographic reconstruction

TL;DR

This paper introduces an integrated method for correcting ring artifacts directly within the compressed sensing tomographic reconstruction process, improving image quality without separate pre- or post-processing steps.

Contribution

The novel contribution is embedding ring artifacts correction into the reconstruction algorithm itself, unlike traditional methods that treat it as a separate pre- or post-processing step.

Findings

Effective correction of ring artifacts demonstrated on simulated data.

Successful application to real data from synchrotron tomography.

Integrated approach improves reconstruction quality.

Abstract

We present a novel approach to handle ring artifacts correction in compressed sensing tomographic reconstruction. The correction is part of the reconstruction process, which differs from classical sinogram pre-processing and image post-processing techniques. The principle of compressed sensing tomographic reconstruction is presented. Then, we show that the ring artifacts correction can be integrated in the reconstruction problem formalism. We provide numerical results for both simulated and real data. This technique is included in the PyHST2 code which is used at the European Synchrotron Radiation Facility for tomographic reconstruction.