In Super-Resolution, multiple low resolution images are combined to form a high resolution image. Many algorithms have been developed in order to obtain those high resolution images. These include algorithms that estimate the displacement between images (registration algorithms) and resolution algorithms that combine obtained images and to compute a high resolution reconstruction using the information gained by the registration algorithms. In this thesis, it will be considered if the theoretically necessary prerequisites are indeed necessary in order to have functioning algorithms. Furthermore, algorithms’ behavior to different situations will be investigated. The results of combining registration and resolution algorithms are examined and best practices are identified.