Links

• More on Google Scholar: https://scholar.google.com/citations?user=bP5Zb_kAAAAJ&hl=en

• Researchgate: https://www.researchgate.net/profile/Xiaobo-Li-37

† first authors with equal contribution, * corresponding authors 

2023

1. Liu X., Zhang L., ..., Li, X.* (2023) “Polarization Lidar: Principles and applications” Photonics 10, 1118. （Feature paper）（Editor’s Choice）

https://www.mdpi.com/2304-6732/10/10/1118

2. Zhang W.†, Li, X.†, Xu S, et al. (2023) “Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion” Remote Sensing 15(19): 4699.

3. Liu H., Li X, Cheng Z., et al. (2023) “Pol2Pol: self-supervised polarimetric image denoising” Optics Letters 48(18): 4821-4824.

4. Hu H., Xu S., ..., Li, X.* (2023) “Enhancing Underwater Image via Color-Cast Correction and Luminance Fusion” IEEE Journal of Oceanic Engineering

5. Zhao H., Shi H., ..., Li, X.* (2023) “Direct measurement of underwater sound velocity via dual-comb system and matched filtering algorithm” IEEE Transactions on Instrumentation and Measurement

6. Li X., Yan L., Qi P., et al. (2023) “Polarimetric Imaging via Deep Learning: A Review” Remote Sensing 15(6): 1540.（Polarization meets deep learning）

7. 许珈诺, 赵健, 李校博, 等. (2023) 基于频谱信息的浑浊水下偏振成像技术. 光学学报 43(18): 1811001.

8. Liu H., Li X., Cheng Z., et al. (2023) “Polarization Maintaining 3-D Convolutional Neural Network for Color Polarimetric Images Denoising” IEEE Transactions on Instrumentation and Measurement 72: 1-9.

9. Hu H., Yang S., Li X., et al. (2023) “Polarized image super-resolution via a deep convolutional neural network” Optics Express 31(5): 8535-8547.

10. Hu, H., Jing, H., Li, X.*, et al., (2023) 基于无监督学习的偏振图像去噪方法 光学学报 43 (4) 041001.

2022

11. Hu, H, Huang, Y, Li, X.*, et al., (2022) “UCRNet: Underwater color image restoration via a polarization-guided convolutional neural network” Frontiers in Marine Science 9: 1031549.

12. Li, X., Zhang., L., Qi, P., et.al., (2022) “Are Indices of Polarimetric Purity Excellent Metrics for Object Identification in Scattering Media?”Remote Sensing 14 (17), 4148.

13. Li, X., Liu, W., Goudail, F., & Chen, S., (2022) “Optimal nonlinear Stokes-Mueller polarimetry for multi-photon processes,” Optics Letters 120, 3281-3302. （Polarimetry + Nonlinear）

14. Hu, H, Han, Y, Li, X., et al., (2022) “Physics-informed neural network for polarimetric underwater imaging” Opt. Express 30, 22512-22522.

15. Qi, P.†, Li, X.†, Zhang, L, et al., (2022) “U2R-pGAN: unpaired underwater-image recovery with polarimetric generative adversarial network”. Optics and Lasers in Engineering,  157, 107112.

16. Li, X., Xu, J., Zhang, L., Hu, H., & Chen, S., (2022) “Underwater image restoration via Stokes decomposition,” Optics Letters, 47(11), 2854-2857.

17. Li, X., Lu, W., Xu, X., Wang, Y., & Chen, S., (2022) “Advanced Optical Methods and Materials for Fabricating 3D Tissue Scaffolds,” Light: Advanced Manufacturing, 3:26.

18. Li, X., Han Y., Wang H., Liu, T., Chen, S. & Hu H., (2022) “Polarimetric imaging through scattering media: A review,” Frontiers in Physics, 153.

19. Li, X., Goudail, F., & Chen, S., (2022) “Self-calibration for Mueller polarimeters based on DoFP polarization imagers,” Optics Letters,  47(6), 1415-1418.

20. Liu, X., Li, X.*, & Chen, S.*, (2022) “Enhanced Polarization Demosaicking Network via a Precise AoP Loss Calculation Method,” Optics Letters, 47(5), 1065-1069.

2021

21. Le Teurnier, B., Li, N., Li, X., Boffety, M., Hu, H., & Goudail, F. "How signal processing can improve the quality of division of focal plane polarimetric imagers?," Proc. SPIE 11866, Electro-Optical and Infrared Systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV, 118660O. 

22. Wang, H., Hu, H., Jiang, J., Li, X., Zhang, W., Cheng, Z., & Liu, T. (2021). Automatic underwater polarization imaging without background region or any prior. Optics Express, 29(20), 31283-31295. （Editor's Pick）

23. Hu, H., Qi, P., Li, X.*, Cheng, Z., & Liu, T. Underwater imaging enhancement based on a polarization filter and histogram attenuation prior. Journal of Physics D: Applied Physics, 54(17), 175102, 2021. （Editor's Pick）

24. Li, X., Goudail, F., Qi, P., Liu, T., & Hu, H. (2021). Integration time optimization and starting angle autocalibration of full Stokes imagers based on a rotating retarder. Optics Express, 29(6), 9494-9512.

25. 胡浩丰, 李嘉琦, 李校博, 等. 三自由度偏振差分水下成像技术. 光学学报, 2021, 41(3): 0329001.

26. Wang, H., Hu, H., Jiang, J., Li, J., Li, X., Zhang, W., ... & Liu, T. (2021). Polarization differential imaging in turbid water via Mueller matrix and illumination modulation. Optics Communications, 499, 127274.

27. Wang, H., Li, J., Hu, H., Jiang, J., Li, X., Zhao, K., ... & Liu, T. (2021). Underwater Imaging by Suppressing the Backscattered Light Based on Mueller Matrix. IEEE Photonics Journal, 13(4), 1-6.

2020

28. Hu, H., Lin, Y., Li, X.*, Qi, P., & Liu, T. IPLNet: a neural network for intensity-polarization imaging in low light. Optics Letters, 45(22), 6162, 2020.

29. Li, X., Li, H., Lin, Y., Guo J., Yang, J., Yue, H., Li, K., Li, C., Cheng, Z., Hu, H., and Liu, T. Learning-based denoising for polarimetric images. Optics Express, 28(11), 16309-16321, 2020.

30. Li, X., Le Teurnier, B., Boffety, M., Liu, T., Hu, H., & Goudail, F.  Theory of autocalibration feasibility and precision in full Stokes imaging polarimeters. Optics Express, 28(10), 15268-15283, 2020.

31. Le Teurnier, B., Li, X., Boffety, M., Hu, H., & Goudail, F. When is retardance autocalibration of microgrid-basedfull Stokes imagers possible and useful? Optics Letter (In press, 2020)

32. Hu, Hu., Zhang, Y., Li, X., Lin, Y., Cheng Z., and Liu, T., Polarimetric underwater image recovery via deep learning. Optics and Lasers in Engineering, 133, 10615, 2020.

33. Liu, T., Guan, Z., Li, X., Cheng, Z., … & Hu, H., Polarimetric underwater image recovery for color image with crosstalk compensation. Optics and Lasers in Engineering, 124, 105833, 2020.

34. Hu, H., Li, X., & Liu, T. (2020, October). Polarimetric imaging via deep learning. In Advanced Optical Imaging Technologies III (Vol. 11549, p. 115491T). International Society for Optics and Photonics. [Poster]

35. 黎海育, 李抄, 李校博, 王辉, 胡浩丰, & 刘铁根. (2020). 基于偏振相机的全斯托克斯偏振仪优化研究. 光学学报, 40(3), 0326001. （Selected by Journal）

2019

36. Li, X., Hu, H., Boffety, M., Roussel, S., Liu, T & Goudail, F. Optimal tradeoff between precision and sampling rate in DoFP imaging polarimeters. Optics Letters. 44(24), 5900-5903, 2019.

37. Li, X., Hu, H., Goudail, F. & Liu, T. Fundamental precision limits of full Stokes polarimeters based on DoFP polarization cameras for an arbitrary number of acquisitions. Optics Express, 27(22), 31261-31272, 2019.

38. Goudail, F., Li, X., Boety, M., Roussel, S., Liu, T., and Hu, H. Autocalibration precision of full-Stokes division-of-focal-plane imaging polarimeters. Optics Letters, 44(22), 5410-5413, 2019.

39. Li, X., Hu, H., Wu, L., Yu. Y., & Liu, T. Impact of intensity integration time distribution strategy on Mueller polarimetry. Journal of Quantitative Spectroscopy & Radiative Transfer, 231,22-27, 2019.

40. Li, X., Hu, H., Wu, L., & Liu, T. Optimal Measurement Matrix of Partial Polarimeter for Measuring Ellipsometric Parameters with Eight Intensity Measurements. IEEE Access, 7, 31494-31500, 2019.

41. Li, X., Hu, H., Zhao, L., Wang, H., Han, Q., Cheng, Z., & Liu, T. Pseudo-polarimetric method for dense haze removal. IEEE Photonics Journal, 11(1), 6900611, 2019.

42. Li, X., Wang, H., Hu, H., and Liu, T. Polarimetric underwater image recovery based on circularly polarized illumination and histogram stretching, Proc. SPIE AOPC 2019: Optical Sensing and Imaging Technology, 113382O, 2019.

43. 胡浩丰, 李校博, 刘铁根. ”基于偏振成像的水下图像复原技术研究最新进展.” 红外与激光工程48(6) (2019): 603006-0603006, 2019. （invited）

44. Wang, H., Hu, H., Li, X., Zhao, L., Guan, Z., Kong, X., & Liu, T. Joint noise reduction for contrast enhancement in Stokes polarimetric imaging. IEEE Photonics Journal 11, 1-10, 2019.

45. 王辉, 王进, 李校博, 胡浩丰, & 刘铁根. (2019). 一种基于圆偏光的偏振去雾成像优化方法. 红外与激光工程, 48(11), 1126001-1126001.

46. Wang, H., Hu, H., Li, X., Guan, Z., Zhu, W., Jiang, J., ... & Liu, T. (2019). An Angle of Polarization (AoP) Visualization Method for DoFP Polarization Image Sensors Based on Three Dimensional HSI Color Space. Sensors, 19(7), 1713.

47. Guan, Z., Goudail, F., Yu, M., Li, X., Han, Q., Cheng, Z., ... & Liu, T. (2019). Contrast optimization in broadband passive polarimetric imaging based on color camera. Optics Express, 27(3), 2444-2454.

48. Wang, H., Hu, H., Li, X., Zhao, L., Guan, Z., Zhu, W., ... & Liu, T. (2019). Joint Noise Reduction for Contrast Enhancement in Stokes Polarimetric Imaging. IEEE Photonics Journal, 11(2), 1-10.

49. Wang, H., Hu, H., Li, X., Zhao, L., Guan, Z., Kong, X., & Liu, T. (2019, January). Metal surface detection using division-of-focal-plane imaging polarimetry. In Third International Conference on Photonics and Optical Engineering (Vol. 11052, p. 110521A). International Society for Optics and Photonics.

Before 2018

50. Li, X., Goudail, F., Hu, H., Han, Q., Cheng, Z., & Liu, T. Optimal ellipsometric parameter measurement strategies based on four intensity measurements in presence of additive Gaussian and Poisson noise. Optics Express, 26(26), 34529-34546, 2018.

51. Li, X., Hu, H., Zhao, L., Wang, H., Yu, Y., Wu, L., & Liu, T. Polarimetric image recovery method combining histogram stretching for underwater imaging. Scientific Reports, 8(1), 12430, 2018.

52. Li, X., Hu, H., Wang, H., Wu, L., & Liu, T. G. Influence of noise statistics on optimizing the distribution of integration time for degree of linear polarization polarimetry. Optical Engineering, 57(6), 064110, 2018.

53. Li, X., Hu, H., Wu, L., & Liu, T. Optimization of instrument matrix for Mueller matrix ellipsometry based on partial elements analysis of the Mueller matrix. Optics Express, 25(16), 18872-18884, 2017.

54. Li, X., Hu, H., Liu, T., Huang, B., & Song, Z. Optimal distribution of integration time for intensity measurements in degree of linear polarization polarimetry. Optics Express, 24(7), 7191-7200, 2016.

55. Li, X., Liu, T., Huang, B., Song, Z., & Hu, H. Optimal distribution of integration time for intensity measurements in Stokes polarimetry. Optics Express, 23(21), 27690-27699, 2015.

56. Song, Z., Li, X., & Liu, T. (2017). Optimal distribution of integration time in degree of linear polarization polarimetry based on the expected variance. Optik, 136, 123-128.

57. Hu, H., Zhao, L., Li, X., Wang, H., Yang, J., Li, K., & Liu, T. Polarimetric image recovery in turbid media employing circularly polarized light. Optics Express, 26(19), 25047-25059, 2018.

58. Hu, H., Zhao, L., Li, X., Wang, H., & Liu, T. Underwater Image Recovery Under the Nonuniform Optical Field Based on Polarimetric Imaging. IEEE Photonics Journal, 10(1), 1-9, 2018.

59. Hu, H., Zhao, L., Huang, B., Li, X., Wang, H., & Liu, T. Enhancing visibility of polarimetric underwater image by transmittance correction. IEEE Photonics Journal, 9(3), 1-10, 2017.

60. Du, Y., Liu, T., Ding, Z., Feng, B., Li, X., Liu, K., & Jiang, J. (2014). Method for improving spatial resolution and amplitude by optimized deskew filter in long-range OFDR. IEEE Photonics Journal, 6(5), 1-11.

Patent

1. ZL 2017 112698770 

2. ZL 2018 103729083

3. ZL 2018 100979015

4. ZL 2017 106181907

5. ZL 2015 105468718

6. ZL 2015 11030090x