In this paper

we propose a region-based super-resolution algorithm to apply a suitable regularization term for each region.In the algorithm

the image is divided into homogeneous and inhomogeneous regions.According to the type of region

we apply different filters for regularization.Regularization parameters are also adaptively determined during the iteration.Simulation results show that the proposed algorithm is superior to the conventional algorithm in term of objective quality as well as subjective one.