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arXiv · 2301.11865

Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography

Xin Yue·Shanny Lin·Wenting Li·Bradley T. Wolfe·Steven Clayton·Mark Makela·C. L. Morris·Simon Spannagel·Erik Ramberg·Juan Estrada·Hao Zhu·Jifeng Liu·Eric R. Fossum·Zhehui Wang
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Abstract

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.

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Xin Yue, Shanny Lin, Wenting Li, Bradley T. Wolfe, Steven Clayton, Mark Makela, C. L. Morris, Simon Spannagel, Erik Ramberg, Juan Estrada, Hao Zhu, Jifeng Liu, Eric R. Fossum, Zhehui Wang. 2023-01-27. Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography. https://doi.org/10.22323/1.420.0041

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