2016/06/15 by Pierre Paleo, Paleo, Pierre, Michel Desvignes +3
Earth and Planetary Sciences · Medicine · Physics and Astronomy · #Atomic and Subatomic Physics Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Seismic Imaging and Inversion Techniques
paper · pdf · doi:10.48550/arxiv.1606.04940
openalex publication_date 2016/06/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a new method to reconstruct data acquired in a local tomography\nsetup. This method uses an initial reconstruction and refines it by correcting\nthe low frequency artifacts known as the cupping effect. A basis of Gaussian\nfunctions is used to correct the initial reconstruction. The coefficients of\nthis basis are iteratively optimized under the constraint of a known subregion.\nUsing a coarse basis reduces the degrees of freedom of the problem while\nactually correcting the cupping effect. Simulations show that the known region\nconstraint yields an unbiased reconstruction, in accordance to uniqueness\ntheorems stated in local tomography.\n