As DrDre already discovered, the Infognition plugin probably isn't suitable for this source:
Geometrical SR reconstruction algorithms are possible if and only if the input low resolution images have been under-sampled and therefore contain aliasing. Because of this aliasing, the high-frequency content of the desired reconstruction image is embedded in the low-frequency content of each of the observed images. Given a sufficient number of observation images, and if the set of observations vary in their phase (i.e. if the images of the scene are shifted by a sub-pixel amount), then the phase information can be used to separate the aliased high-frequency content from the true low-frequency content, and the full-resolution image can be accurately reconstructed.[12]
In practice, this frequency-based approach is not used for reconstruction, but even in the case of spatial approaches (e.g. shift-add fusion[13]), the presence of aliasing is still a necessary condition for SR reconstruction.
The reason why it works for the GOUT is because of how it was transferred to video. The aliasing is necessary as there is meaningful information missing between the scan-lines that can be recovered from from other frames. It'd be nice if Infognition was more forthcoming with this information.
In any case, to use SR you would need to do the upscale first and then the alignment.