A Discretize-then-Optimize Approach to Super-Resolution Reconstruction and Motion Estimation

Abstract

<p>The process of recovering a high-resolution (HR) image from a set<br />of distorted (i.e. deformed, blurry, noisy, etc.) low-resolution (LR) images<br />is known as super-resolution. Super-resolution problem will require<br />the reconstruction of the HR image and estimations of motion<br />between LR images. In this study, image reconstruction and motion<br />estimation will be treated as a coupled problem. The proposed algorithm<br />uses an inverse model followed by a discretize-then-optimize<br />approach. Preliminary experiments on test data will be presented.</p>