supreme β SUper-REsolution MEthods
This is experimental research software that performs multi-image super-resolution imaging. It requires the images to be registered beforehand using, e.g., Elastix, or a robust feature-based method.
You are most likely only interested in running
doc/example/super_resolve.py. That script requires the images to be
in
VGG format.
An example VGG dataset is
provided of the Oxford Library Sequence.
For a full technical overview of this work, please refer to the overview paper or my dissertation.
Much of the functionality in this library has now been ported to scikit-image.