Ring artifacts correction in compressed sensing tomographic reconstruction
This addresses ring artifacts in tomographic imaging for synchrotron facilities, offering a more integrated solution, though it appears incremental as it adapts existing compressed sensing frameworks.
The paper tackles ring artifacts in compressed sensing tomographic reconstruction by integrating correction directly into the reconstruction process, differing from traditional pre- or post-processing methods, and demonstrates results on simulated and real data implemented in the PyHST2 code used at the European Synchrotron Radiation Facility.
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.