Thanks for the compliments! Glad to hear you enjoy the work and screenshot comparisons. I also often use mobile devices for the screenshot comparisons, because the zooming on mobile devices makes it easier to look at the details, than to put your face against your computer screen.

As with most techniques, there are many ways to implement the methodology. However, as a rough guide, a super resolution algorithm defines a reference frame, and subsequently estimates how objects, often defined as image patches, can be mapped onto the reference frame. The image patches are then averaged using some form of weighted averaging, where the weights are related to the similarity to the reference frame. The weighting reduces the chance of wrong detail placement, the socalled registration error. After the averaging the resulting frame is deblurred leading to the final result.