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: light field

Academic Journals:

1. Jingqian Wu, Shuo Zhu, Chutian Wang, Boxin Shi, and Edmund Y. Lam, “SweepEvGS: Event-based 3D Gaussian splatting for macro and micro radiance field rendering from a single sweep,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 12, pp. 12734–12746, December 2025.
   DOI: 10.1109/TCSVT.2025.3583735

2. Shansi Zhang, Yaping Zhao, and Edmund Y. Lam, “Semi-supervised semantic segmentation for light field images using disparity information,” IEEE Transactions on Image Processing, vol. 33, pp. 4516–4528, August 2024.
   DOI: 10.1109/TIP.2024.3441930

3. Shansi Zhang and Edmund Y. Lam, “Light field image restoration via latent diffusion and multi-view attention,” IEEE Signal Processing Letters, vol. 31, pp. 1094–1098, April 2024.
   DOI: 10.1109/LSP.2024.3383798

4. Shansi Zhang, Nan Meng, and Edmund Y. Lam, “Unsupervised light field depth estimation via multi-view feature matching with occlusion prediction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2261–2273, April 2024.
   DOI: 10.1109/TCSVT.2023.3305978

5. Shansi Zhang, Nan Meng, and Edmund Y. Lam, “LRT: An efficient low-light restoration transformer for dark light field images,” IEEE Transactions on Image Processing, vol. 32, pp. 4314–4326, July 2023.
   DOI: 10.1109/TIP.2023.3297412

6. Shansi Zhang and Edmund Y. Lam, “An effective decomposition-enhancement method to restore light field images captured in the dark,” Signal Processing, vol. 189, pp. 108279(1–11), December 2021.
   DOI: 10.1016/j.sigpro.2021.108279

7. Shansi Zhang and Edmund Y. Lam, “Learning to restore light fields under low-light imaging,” Neurocomputing, vol. 456, pp. 76–87, October 2021.
   DOI: 10.1016/j.neucom.2021.05.074

8. Nan Meng, Kai Li, Jianzhuang Liu, and Edmund Y. Lam, “Light field view synthesis via aperture disparity and warping confidence map,” IEEE Transactions on Image Processing, vol. 30, pp. 3908–3921, March 2021.
   DOI: 10.1109/TIP.2021.3066293

9. Nan Meng, Hayden K.-H. So, Xing Sun, and Edmund Y. Lam, “High-dimensional dense residual convolutional neural network for light field reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 873–886, March 2021.
   DOI: 10.1109/TPAMI.2019.2945027

10. Nan Meng, Zhou Ge, Tianjiao Zeng, and Edmund Y. Lam, “LightGAN: A deep generative model for light field reconstruction,” IEEE Access, vol. 8, pp. 116052–116063, June 2020.
    DOI: 10.1109/ACCESS.2020.3004477

11. Nan Meng, Xing Sun, Hayden K.-H. So, and Edmund Y. Lam, “Computational light field generation using deep nonparametric Bayesian learning,” IEEE Access, vol. 7, pp. 24990–25000, February 2019.
    DOI: 10.1109/ACCESS.2019.2900153

12. Ni Chen, Chao Zuo, Edmund Y. Lam, and Byoungho Lee, “3D imaging based on depth measurement technologies,” Sensors, vol. 18, no. 11, pp. 3711(1–38), November 2018.
    DOI: 10.3390/s18113711

13. Ni Chen, Zhenbo Ren, Dayan Li, Edmund Y. Lam, and Guohai Situ, “Analysis of the noise in backprojection light field acquisition and its optimization,” Applied Optics, vol. 56, no. 13, pp. F20–F26, May 2017.
    DOI: 10.1364/AO.56.000F20

14. Ni Chen, Zhenbo Ren, and Edmund Y. Lam, “High-resolution Fourier hologram synthesis from photographic images through computing the light field,” Applied Optics, vol. 55, no. 7, pp. 1751–1756, March 2016.
    DOI: 10.1364/AO.55.001751
    Top Downloaded Article on Imaging Systems from Applied Optics and Optics Express in 2015-16

15. Edmund Y. Lam, “Computational photography with plenoptic camera and light field capture: tutorial,” Journal of the Optical Society of America A, vol. 32, no. 11, pp. 2021–2032, November 2015.
    DOI: 10.1364/JOSAA.32.002021

    Top Downloads in the Journal of the Optical Society of America A (Nov 15 | Dec 15 | Jan 16 | Feb 16 | Aug 16 | Sep 16 | Oct 16 | Nov 16 | Dec 16 | Jan 17 | Feb 17 | Mar 17 | Apr 17 | Dec 17 | Jan 18 | Feb 18 | May 18 | Jun 18 | Jul 18 | Aug 18 | Dec 19)

    Among 15 most cited articles in the journal between 2015 and 2017

16. Zhimin Xu, Jun Ke, and Edmund Y. Lam, “High-resolution lightfield photography using two masks,” Optics Express, vol. 20, no. 10, pp. 10971–10983, May 2012.
    DOI: 10.1364/OE.20.010971

Conference Proceedings:

1. Shansi Zhang and Edmund Y. Lam, “Unsupervised disparity estimation for light field videos,” in International Conference on Acoustics, Speech, and Signal Processing, pp. 2620–2624, April 2024.
   DOI: 10.1109/ICASSP48485.2024.10446981

2. Shansi Zhang and Edmund Y. Lam, “Denoising for photon-limited imaging via a multi-level pyramid network,” in IEEE Tencon, pp. 1–7, November 2022.
   DOI: 10.1109/TENCON55691.2022.9977646

3. Shansi Zhang and Edmund Y. Lam, “A deep retinex framework for light field restoration under low-light conditions,” in International Conference on Pattern Recognition, pp. 2042–2048, August 2022.
   DOI: 10.1109/ICPR56361.2022.9956107

4. Zhou Ge, Li Song, and Edmund Y. Lam, “Light field image restoration in low-light environment,” in SPIE Future Sensing Technologies, volume 11525 of Proceedings of the SPIE, pp. 115251H, November 2020.
   DOI: 10.1117/12.2580033

5. Nan Meng, Xiaofei Wu, Jianzhuang Liu, and Edmund Y. Lam, “High-order residual network for light field super-resolution,” in AAAI Conference on Artificial Intelligence, pp. 11757–11764, February 2020.
   DOI: 10.1609/aaai.v34i07.6847

6. Nan Meng, Tianjiao Zeng, and Edmund Y. Lam, “Spatial and angular reconstruction of light field based on deep generative networks,” in IEEE International Conference on Image Processing, pp. 4659–4663, September 2019.
   DOI: 10.1109/ICIP.2019.8803480

7. Nan Meng, Tianjiao Zeng, and Edmund Y. Lam, “Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks,” in OSA Topical Meeting in Computational Optical Sensing and Imaging, pp. CW1A.5, June 2019.
   DOI: 10.1364/COSI.2019.CW1A.5

8. Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, and Hayden K.-H. So, “Data-driven light field depth estimation using deep convolutional neural networks,” in IEEE International Joint Conference on Neural Networks, pp. 367–374, July 2016.
   DOI: 10.1109/IJCNN.2016.7727222

9. Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, and Hayden K.-H. So, “Sparse hierarchical nonparametric Bayesian learning for light field representation and denoising,” in IEEE International Joint Conference on Neural Networks, pp. 3272–3279, July 2016.
   DOI: 10.1109/IJCNN.2016.7727617

10. Zhimin Xu and Edmund Y. Lam, “A high-resolution lightfield camera with dual-mask design,” in Image Reconstruction from Incomplete Data, volume 8500 of Proceedings of the SPIE, pp. 85000U, August 2012.
    DOI: 10.1117/12.940766

11. Edmund Y. Lam, “Computational photography: Advances and challenges,” in Tribute to Joseph W. Goodman, volume 8122 of Proceedings of the SPIE, pp. 81220O, August 2011.
    DOI: 10.1117/12.899609

12. Zhimin Xu and Edmund Y. Lam, “Light field superresolution reconstruction in computational photography,” in OSA Topical Meeting in Signal Recovery and Synthesis, pp. SMB3, July 2011.
    DOI: 10.1364/SRS.2011.SMB3
    Top Downloaded SRS Meeting InfoBase Papers

13. Zhimin Xu and Edmund Y. Lam, “A spatial projection analysis of light field capture,” in OSA Frontiers in Optics, pp. FWH2, October 2010.
    DOI: 10.1364/FIO.2010.FWH2

14. Aaron C.W. Chan and Edmund Y. Lam, “Image refocus in geometrical optical phase space,” in OSA Frontiers in Optics, pp. FWH4, October 2010.
    DOI: 10.1364/FIO.2010.FWH4