Edmund Y. Lam  —  Publications

All keywords:

| AI and deep learning | biomedical microscopy | compressed sensing | computational imaging | computational lithography | digital holography | education technology | electronic imaging | eye imaging | lensless imaging | light field | machine vision and automation | magnetic resonance imaging | metasurface | microplastics | neuromorphic imaging | optical coherence tomography | speckle | super-resolution |

Current keyword: compressed sensing

Academic Journals:

1. Linxia Zhang, Edmund Y. Lam, and Jun Ke, “Temporal compressive imaging reconstruction based on a 3D-CNN network,” Optics Express, vol. 30, no. 3, pp. 3577–3591, January 2022.
   DOI: 10.1364/OE.448490

2. Jun Ke, Linxia Zhang, Qun Zhou, and Edmund Y. Lam, “Broad dual-band temporal compressive imaging with optical calibration,” Optics Express, vol. 29, no. 4, pp. 5710–5729, February 2021.
   DOI: 10.1364/OE.415271

3. Qun Zhou, Jun Ke, and Edmund Y. Lam, “Near-infrared temporal compressive imaging for video,” Optics Letters, vol. 44, no. 7, pp. 1702–1705, April 2019.
   DOI: 10.1364/OL.44.001702

4. Antony C.S. Chan, Kevin K. Tsia, and Edmund Y. Lam, “Subsampled scanning holographic imaging (SuSHI) for fast, non-adaptive recording of three-dimensional objects,” Optica, vol. 3, no. 8, pp. 911–917, August 2016.
   DOI: 10.1364/optica.3.000911

5. Jun Ke and Edmund Y. Lam, “Fast compressive measurements acquisition using optimized binary sensing matrices for low-light-level imaging,” Optics Express, vol. 24, no. 9, pp. 9869–9887, May 2016.
   DOI: 10.1364/OE.24.009869

6. Jun Ke and Edmund Y. Lam, “Object reconstruction in block-based compressive imaging,” Optics Express, vol. 20, no. 20, pp. 22102–22117, September 2012.
   DOI: 10.1364/OE.20.022102

7. Zhimin Xu and Edmund Y. Lam, “Image reconstruction using spectroscopic and hyperspectral information for compressive terahertz imaging,” Journal of the Optical Society of America A, vol. 27, no. 7, pp. 1638–1646, July 2010.
   DOI: 10.1364/JOSAA.27.001638
   Top Downloads in the Journal of the Optical Society of America A in the area of Imaging Systems over a two-year period (2010--11)

Conference Proceedings:

1. Yaping Zhao and Edmund Y. Lam, “Optimizing object detection in electro-optical systems with snapshot compressive imaging,” in Electro-optical and Infrared Systems: Technology and Applications, volume 13200 of Proceedings of the SPIE, pp. 132001G, September 2024.
   DOI: 10.1117/12.3031426

2. Yaping Zhao and Edmund Y. Lam, “SASA: Saliency-aware self-adaptive snapshot compressive imaging,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 2370–2374, April 2024.
   DOI: 10.1109/ICASSP48485.2024.10446309

3. Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, and Edmund Y. Lam, “Solving inverse problems in compressive imaging with score-based generative models,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2023.
   DOI: 10.1109/DSAA60987.2023.10302579

4. Yaping Zhao, Qunsong Zeng, and Edmund Y. Lam, “Adaptive compressed sensing for real-time video compression, transmission, and reconstruction,” in IEEE International Conference on Data Science and Advanced Analytics, pp. 1–10, October 2023.
   DOI: 10.1109/DSAA60987.2023.10302598

5. Dingaoyu Zhao, Edmund Y. Lam, and Jun Ke, “Spatial-temporal compressive imaging using an unfolding network,” in Optica Topical Meeting in Computational Optical Sensing and Imaging, pp. CW1B.5, July 2022.
   DOI: 10.1364/COSI.2022.CW1B.5

6. Linxia Zhang, Jun Ke, and Edmund Y. Lam, “A deep learning approach for reconstruction in temporal compressed imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW4B.3, June 2020.
   DOI: 10.1364/COSI.2020.CW4B.3

7. Jun Ke and Edmund Y. Lam, “Super-resolution block-wise compressive imaging and its binary sensing matrices design,” in The Japan Society of Applied Physics and The Optical Society Joint Symposia, pp. 18a-PA2-2, September 2019.

8. Jun Ke, Linxia Zhang, and Edmund Y. Lam, “Temporal compressed measurements for block-wise compressive imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. JW4B.1, June 2019.
   DOI: 10.1364/COSI.2019.JW4B.1

9. Qun Zhou, Jun Ke, and Edmund Y. Lam, “Dual-waveband temporal compressive imaging,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTu2A.8, June 2019.
   DOI: 10.1364/COSI.2019.CTu2A.8

10. Antony C.S. Chan, Edmund Y. Lam, and Kevin K. Tsia, “Signal reduction in fluorescence imaging using radio frequency-multiplexed excitation by compressed sensing,” in Real-time Photonic Measurements, Data Management, and Processing, volume 9279 of Proceedings of the SPIE, pp. 92790U, October 2014.
    DOI: 10.1117/12.2072016

11. Antony C.S. Chan, Kenneth K.Y. Wong, Kevin K. Tsia, and Edmund Y. Lam, “Reducing the acquisition time of optical scanning holography by compressed sensing,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SM4F.4, July 2014.
    DOI: 10.1364/SRS.2014.SM4F.4

12. Jun Ke, Ping Wei, and Edmund Y. Lam, “Binary sensing matrix design for compressive imaging measurements,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SM2F.7, July 2014.
    DOI: 10.1364/SRS.2014.SM2F.7

13. Jun Ke, Ping Wei, Xin Zhang, and Edmund Y. Lam, “Block-based compressive low-light-level imaging,” in IEEE International Conference on Imaging Systems and Techniques, pp. 311–316, October 2013.
    DOI: 10.1109/IST.2013.6729712

14. Jun Ke and Edmund Y. Lam, “Nonlinear image reconstruction in block-based compressive imaging,” in IEEE International Symposium on Circuits and Systems, pp. 2917–2920, May 2012.
    DOI: 10.1109/ISCAS.2012.6271926

15. Xin Zhang and Edmund Y. Lam, “Sectional image reconstruction in optical scanning holography using compressed sensing,” in IEEE International Conference on Image Processing, pp. 3349–3352, September 2010.
    DOI: 10.1109/ICIP.2010.5652768

16. Zhimin Xu, Wai Lam Chan, Daniel M. Mittleman, and Edmund Y. Lam, “Sparse reconstruction of complex signals in compressed sensing Terahertz imaging,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. STuA4, October 2009.
    DOI: 10.1364/SRS.2009.STuA4
    Top Downloaded SRS Meeting InfoBase Papers