Image reconstruction with better edge enhancement using super resolution algorithm

In this paper, we present super-resolution method that enhance image by combining two algorithms: Iterative algorithm of back-projection (IBP) for removing blur and noise and the algorithm of anisotropic diffusion (AD) which is improved contours. Our technique not only reconstructs a high-resolution image from several overlapping noisy low- resolution images, but also enhances edges and image contrast while suppressing image noise during the restoration process. In order to validate the proposed method and studying its performance, firstly, a synthetic images intentionally degraded are tested, and then an application is performed on satellite images. The obtained results have allowed us to conclude on the validity of our method and its effectiveness to produce a high resolution image and enhancing edges.