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

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arxiv 2301.11865 v1 pith:S75MZ7TW submitted 2023-01-27 physics.ins-det eess.IV

Xin Yue , Shanny Lin , Wenting Li , Bradley T. Wolfe , Steven Clayton , Mark Makela , C. L. Morris , Simon Spannagel
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Erik Ramberg Juan Estrada Hao Zhu Jifeng Liu Eric R. Fossum Zhehui Wang
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classification physics.ins-deteess.IV
keywords cmosimageultrafastdata-enabledimagingpost-processingradiographicresolution
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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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