  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.
