The goal of this project is to build a deep-learning solution that deblurs cornea scans, used for medical examination. The spherical shape of the eye prevents ophtamologist from having completely sharp image. Provided with a stack of corneas from confocal images, our approach is to build a model that performs an upscaling of the images using an SR (Super Resolution) Network.
@article{arxiv.2006.14319,
title = {Deep Learning for Cornea Microscopy Blind Deblurring},
author = {Toussain Cardot and Pilar Marxer and Ivan Snozzi},
journal= {arXiv preprint arXiv:2006.14319},
year = {2020}
}