Discrete Tomography by Convex-Concave Regularization using Linear and Quadratic Optimization

Abstract

Discrete tomography concerns the reconstruction of objects that are made up from a few different materials, each of which comprising a homogeneous density distribution. Under the assumption that these densities are a priori known new algorithms can be developed which typically need less projection data to reveal appealing reconstruction results