  A new method for reducing metal artifacts in X-ray computed tomography (CT)
images is presented. It bases on the solution of a convex optimization problem
with inequality constraints on the sinogram, and total variation regularization
for the reconstructed image. The Chambolle-Pock algorithm is used to
numerically solve the discretized version of the optimization problem. As proof
of concept we present and discuss numerical results for synthetic data.
