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

Autor:	Yue, Xin, Lin, Shanny, Li, Wenting, Wolfe, Bradley T., Clayton, Steven, Makela, Mark, Morris, C. L., Spannagel, Simon, Ramberg, Erik, Estrada, Juan, Zhu, Hao, Liu, Jifeng, Fossum, Eric R., Wang, Zhehui
Rok vydání:	2023
Předmět:	Physics - Instrumentation and Detectors Electrical Engineering and Systems Science - Image and Video Processing
Zdroj:	Proceedings of Science ; Vol.420, p.041, 8 May 2023
Druh dokumentu:	Working Paper
DOI:	10.22323/1.420.0041
Popis:	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. Comment: 12 pages, 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2301.11865 Zobrazit plný text záznamu View this record from Arxiv