This report describes a flexible, object-oriented software framework for modelling linear inverse problems, including solvers for analytic and least-squares solutions with optional regularization. Real-world linear problems can be composed at runtime, making the library suitable for a broad variety of applications. We demonstrate this flexibility with examples from X-ray Computed Tomography for linear attenuation and differential phase contrast.
Stichworte:
CampRecon, Software Framework, Linear Inverse Problems