Single-image super-resolution using low complexity adaptive iterative back-projection

The current paper focuses on single-image super-resolution algorithms aiming at increasing the spatial resolution of images and video sequences. We achieve this goal by decreasing the complexity of the reconstruction process, combining common filtering methods and introducing adaptive error back-projection throughout an iterative back-projection framework. We compare our scheme with common interpolation algorithms and other single-image super-resolution techniques. The results of this work can be used to improve the performance of space and resource-limited implementations.