Optimal Transport for Unsupervised Denoising Learning.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3170155
Abstract: Recently, much progress has been made in unsupervised denoising learning. However, existing methods more or less rely on some assumptions on the signal and/or degradation model, which limits their practical performance. How to construct an… read more here.
Keywords: microscopy; supervised methods; unsupervised denoising; denoising learning ... See more keywords