Add to BibSonomyAbstract
Quantum ghost imaging is a promising technique limited by time-efficiency. We implemented novel deep neural networks to enhance and denoise the reconstructed image, and to establish early image recognition leading to 5× faster imaging speeds.
© 2022 The Author(s)
PDF Article | Presentation VideoMore Like This
Time-efficient object recognition in quantum ghost imaging
Valeria Rodríguez-Fajardo, Chané Moodley, Jonathan Pinnell, Bereneice Sephton, and Andrew Forbes
jsiv_2_4 European Quantum Electronics Conference (EQEC) 2021
Time-multiplexing approach for fast time-domain near-infrared optical tomography combined with neural-network-enhanced image reconstruction
A. Kalyanov, M. Ackermann, E. Russomanno, M. Wolf, and J. Jiang
1262812 European Conference on Biomedical Optics (ECBO) 2023
Phase Recovery and Holographic Imaging using Recurrent Neural Networks (RNNs)
Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, and Aydogan Ozcan
ATh1D.5 CLEO: Applications and Technology (CLEO:A&T) 2022