We summarize recent progress in ultrafast Complementary Metal Oxide Semiconductor (CMOS) image sensor development and the application of neural networks for post-processing of CMOS and charge-coupled device (CCD) image data to achieve sub-pixel resolution (thus super-resolution). The combination of novel CMOS pixel designs and data-enabled image post-processing provides a promising path towards ultrafast high-resolution multi-modal radiographic imaging and tomography applications.
@article{arxiv.2301.11865,
title = {Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography},
author = {Xin Yue and Shanny Lin and Wenting Li and Bradley T. Wolfe and Steven Clayton and Mark Makela and C. L. Morris and Simon Spannagel and Erik Ramberg and Juan Estrada and Hao Zhu and Jifeng Liu and Eric R. Fossum and Zhehui Wang},
journal= {arXiv preprint arXiv:2301.11865},
year = {2023}
}