Model-based Tikhonov-Miller image restoration

We propose a new Miller-Tikhonov restoration method where an a priori model of the solution is included. In sharp contrast with the classical method, this approach incorporates local informations. We show that the optimal model can be directly calculated from the data or a priori given and adjusted by minimizing the reconstruction error.