Edmund Y. Lam  —  Publications

All keywords:

| 3D imaging | biomedical imaging | compressed sensing | computational imaging | computational lithography | deep learning | digital holography | education technology | electronic imaging | environment | high dynamic range imaging | light field | machine learning | machine vision and automation | magnetic resonance imaging | microscopy | optical coherence tomography | speckle | super-resolution | ulfrafast imaging |

Current keyword: compressed sensing

Academic Journals:

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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. 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

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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