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: super-resolution

Academic Journals:

  1. Zhenbo Ren, Hayden K.-H. So, and Edmund Y. Lam, “Fringe pattern improvement and super-resolution using deep learning in digital holography,” IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 6179–6186, November 2019.
    DOI: 10.1109/TII.2019.2913853

  2. Runbin Shi, Justin S.J. Wong, Edmund Y. Lam, Kevin K. Tsia, and Hayden K.-H. So, “A real-time coprime line scan super-resolution system for ultra-fast microscopy,” IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 4, pp. 781–792, August 2019.
    DOI: 10.1109/TBCAS.2019.2914946

  3. Antony C.S. Chan, Ho-Cheung Ng, Sharat C.V. Bogaraju, Hayden K.-H. So, Edmund Y. Lam, and Kevin K. Tsia, “All-passive pixel super-resolution of time-stretch imaging,” Scientific Reports, vol. 7, pp. 44608(1–11), March 2017.
    DOI: 10.1038/srep44608

  4. Xiansheng Guo, Qun Wan, Chunqi Chang, and Edmund Y. Lam, “Source localization using a sparse representation framework to achieve superresolution,” Multidimensional Systems and Signal Processing, vol. 21, no. 4, pp. 391–402, December 2010.
    DOI: 10.1007/s11045-010-0119-y

  5. Xin Zhang and Edmund Y. Lam, “Superresolution reconstruction using nonlinear gradient-based regularization,” Multidimensional Systems and Signal Processing, vol. 20, no. 4, pp. 375–384, December 2009.
    DOI: 10.1007/s11045-008-0072-1

  6. Wai-San Chan, Edmund Y. Lam, Michael K. Ng, and Giuseppe Y. Mak, “Super-resolution reconstruction in a computational compound-eye imaging system,” Multidimensional Systems and Signal Processing, vol. 18, no. 2–3, pp. 83–101, September 2007.
    DOI: 10.1007/s11045-007-0022-3

  7. Michael K. Ng, Huanfeng Shen, Edmund Y. Lam, and Liangpei Zhang, “A total variation regularization based super-resolution reconstruction algorithm for digital video,” EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 74585, 16 pages, June 2007.
    DOI: 10.1155200774585

  8. Edmund Y. Lam, “Noise in superresolution reconstruction,” Optics Letters, vol. 28, no. 22, pp. 2234–2236, November 2003.
    DOI: 10.1364/OL.28.002234

Conference Proceedings:

  1. Gangping Liu, Jun Ke, and Edmund Y. Lam, “CNN-based super-resolution full-waveform LiDAR,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. JW2A.29, June 2020.
    DOI: 10.1364/COSI.2020.JW2A.29

  2. Jun Ke and Edmund Y. Lam, “Temporal super-resolution in full waveform LiDAR,” in Emerging Imaging and Sensing Technologies for Security and Defence, volume 10799 of Proceedings of the SPIE, pp. 1079906, September 2018.
    DOI: 10.1117/12.2327001

  3. Jun Ke and Edmund Y. Lam, “Temporal super-resolution full waveform LiDAR,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CTh3C.1, June 2018.
    DOI: 10.1364/COSI.2018.CTh3C.1

  4. Runbin Shi, Antony C.S. Chan, Edmund Y. Lam, and Hayden K.-H. So, “Image super-resolution for ultrafast optical time-stretch imaging,” in 24th Congress of the International Commission for Optics, pp. W1F-08, August 2017.

  5. Zhenbo Ren and Edmund Y. Lam, “Super-resolution imaging in optical scanning holography using structured illumination,” in Holography, Diffractive Optics, and Applications, volume 10022 of Proceedings of the SPIE, pp. 1002203, October 2016.
    DOI: 10.1117/12.2247791
    Invited Paper at the conference

  6. Antony C.S. Chan, Edmund Y. Lam, and Kevin K. Tsia, “Pixel super-resolution of time-stretch imaging by an equivalent-time sampling concept,” in High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, volume 9720 of Proceedings of the SPIE, pp. 972004, February 2016.
    DOI: 10.1117/12.2212034
    PiPhotonics Best Paper Award

  7. Antony Chan, Edmund Y. Lam, and Kevin K. Tsia, “Pixel super-resolution in optical time-stretch microscopy using acousto-optic deflector,” in OSA Topical Meeting in Bio-Optics: Design and Application, pp. BW2A.7, April 2015.
    DOI: 10.1364/BODA.2015.BW2A.7

  8. Luhong Liang, King Hung Chiu, and Edmund Y. Lam, “Fast single frame super-resolution using scale-invariant self-similarity,” in IEEE International Symposium on Circuits and Systems, pp. 1191–1194, May 2013.
    DOI: 10.1109/ISCAS.2013.6572065

  9. Xin Zhang and Edmund Y. Lam, “Super-resolution reconstruction using regularization based on gradient vector field,” in Biomedical Engineering International Conference, October 2008.

  10. Xin Zhang, Edmund Y. Lam, Ed X. Wu, and Kenneth K.Y. Wong, “Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images,” in Medical Imaging and Informatics, pp. 46–51, August 2007.
    DOI: 10.1007/978-3-540-79490-58

  11. Wai-San Chan, Edmund Y. Lam, and Michael K. Ng, “Extending the depth of field in a compound-eye imaging system with super-resolution reconstruction,” in International Conference on Pattern Recognition, vol. 3, pp. 623–626, August 2006.
    DOI: 10.1109/ICPR.2006.519

  12. Wai-San Chan, Edmund Y. Lam and Michael K. Ng, “Investigation of computational compound-eye imaging system with super-resolution reconstruction,” in International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. 1177–1180, May 2006.
    DOI: 10.1109/ICASSP.2006.1661184