Mixed regularization method for image restoration

We present a new mixed regularization method for image recovery. The method is based on the combination of the bounded variation regularization and the quadratic H-k regularization. We show motivation for two distinctive terms in the energy functional, one for each regularization. We obtain rigorous results on well-posedness and stability of the underlying minimization problem. The numerical results for several case-studies give significant improvement over standard single regularizations.