A Modular Approach to Image Super-Resolution Algorithms

This research designs and implements a tool that allows the combination of state of the art super-resolution algorithms in a flexible way to facilitate the search for high quality single frame super-resolution algorithms. The ability to combine algorithmic parts in a flexible way decreases the time needed to design new super-resolution algorithms. Current state of the art super-resolution algorithms are researched and broken down into elemental parts. A modular approach is designed guided by these elemental parts and a proof of concept toolkit is implemented to perform testing. It offers the ability to design super-resolution algorithms without requiring any programming or scripting. Promising test results of a new super-resolution approach based on directional information are included. 4 5 Acknowledgements I would like to send special thanks to my parents for supporting me in the many ways they did throughout my years of education. I would furthermore like to thank Léon Rothkrantz for his guidance and insight during my graduation period. Finally, I would like to thank C. Stanco for providing me with test material during my research phase.