# Ring artifacts correction in compressed sensing tomographic reconstruction

arXiv: https://arxiv.org/abs/1502.01480 · HTML: https://mlsanity.com/paper/1502.01480/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Feb 2015.

## Built on by (most cited first, 2 of 2)

- [Interlaced dynamic XCT reconstruction with spatio-temporal implicit neural representations](https://mlsanity.com/paper/2510.08641/) (2025)
- [TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT](https://mlsanity.com/paper/2609.15834/) (2026)

## Abstract (arXiv)

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.