Denoising Low-dose Images Using Deep Learning of Time Series Images

arXiv:2404.00510v1 Announce Type: new
Abstract: Digital image devices have been widely applied in many fields, including scientific imaging, recognition of individuals, and remote sensing. As the application of these imaging technologies to autonomous driving and measurement, image noise generated when observation cannot be performed with a sufficient dose has become a major problem. Machine learning denoise technology is expected to be the solver of this problem, but there are the following problems. Here we report, artifacts generated by machine learning …

abstract application arxiv autonomous autonomous driving become cs.cv deep learning denoising devices digital driving eess.iv fields generated image images imaging low measurement noise observation recognition scientific sensing series technologies time series type