  In this work, we present a novel tool for reconstructing networks from
corrupted images. The reconstructed network is the result of a minimization
problem that has a misfit term with respect to the observed data, and a
physics-based regularizing term coming from the theory of optimal transport.
Through a range of numerical tests, we demonstrate that our suggested approach
can effectively rebuild the primary features of damaged networks, even when
artifacts are present.
