Optimal Transport for Super Resolution Applied to Astronomy Imaging. (arXiv:2202.05354v1 [eess.IV])

Super resolution is an essential tool in optics, especially on interstellar
scales, due to physical laws restricting possible imaging resolution. We
propose using optimal transport and entropy for super resolution applications.
We prove that the reconstruction is accurate when sparsity is known and noise
or distortion is small enough. We prove that the optimizer is stable and robust
to noise and perturbations. We compare this method to a state of the art
convolutional neural network and get similar results for …

arxiv astronomy imaging