The goal of Super-Resolution methods is to recover a high resolution image from one or more low resolution input images. Our approach attempts to recover the resolution increase, based on the observation that patches in a natural image tend to recur many times inside the image within and across scales. We propose to combine 2 existing SR methods and show that this approach can be applied to obtain super resolution from as little as a single image.
Project Goal:
In this project we will develop algorithm and create an application.
