目前主要从事于图像视频清晰化研究，特别是在图像去雾、图像增强方面。未来将主要聚焦于机器学习、人工智能等视觉方面的应用。现主持纵向项目包括: 国家自然科学青年基金、江苏省自然科学青年基金、国家博士后基金、江苏省博士后科研基金、雷达成像与微波光子技术教育部重点实验室开放基金、南京邮电大学高水平师资科研启动金。欢迎内在驱动力强、对机器视觉、机器学习感兴趣的同学报考本人研究生，联系方式(jumingye@njupt.edu.cn)。

部分发表论文情况\\

[1] M. Ju, C. Ding, W. Ren, Y. Yang, D. Zhang and Y. J. Guo, " IDRLP: Image Dehazing Using Region Line Prior” IEEE Transactions on Image Processing, 2021, accepted.(SCI一区，CCF-A)

[2] M. Ju, C. Ding, W. Ren, Y. Yang, D. Zhang and Y. J. Guo, "IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model," IEEE Transactions on Image Processing, vol. 30, pp. 2180-2192, 2021.(SCI一区，CCF-A)

[3] M. Ju, C. Ding, Y. jay Guo, and D. Zhang, “IDGCP: Image Dehazing Based on Gamma Correction Prior,” IEEE Transactions on Image Processing, vol. 29, pp. 3104-3118, 2020. (SCI一区，CCF-A)

[4] M. Ju, C. Ding, W. Ren, and Y. Yang. “IDBP: Image Dehazing Using Blended Priors Including Non-local, Local, and Global Priors," IEEE Transactions on Circuits and Systems for Video Technology, Early Access, 2021. (SCI一区,  CCF-B)

[5] M. Ju, C. Ding, D. Zhang, and Y. jay Guo, “BDPK: Bayesian Dehazing Using Prior Knowledge,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 8, pp. 2349-2362, Aug. 2019. (SCI一区，CCF-B)

[6] M. Ju, C. Ding, D. Zhang, and Y. jay Guo, “Gamma-Correction-Based Visibility Restoration for Single Hazy Images,” IEEE Signal Processing Letters, vol. 25, no. 7, pp. 1084-1088, July 2018. (SCI二区, CCF-C)

[7] M. Ju,  Z. Gu, and D. Zhang, “Single image haze removal based on the improved atmospheric scattering model,” Neurocomputing, vol. 260, pp. 180-191, 2017. (SCI二区, CCF-C)

[8] M. Ju, C. Ding and Y. J. Guo, "VROHI: Visibility Recovery for Outdoor Hazy Image in Scattering Media," IEEE Photonics Journal, vol. 12, no. 6, pp. 1-15, Dec. 2020, Art no. 7001015. (SCI三区)

[9]鞠铭烨, 张登银. 基于先验知识与大气散射模型的图像增强算法. 电子学报, 2017, 45(5): 1218-1225. (EI, 中文CCF-A)

[10]鞠铭烨, 张登银, 纪应天. 基于雾气浓度估计的图像去雾算法. 自动化学报, 2016, 42(9): 1367-1379. (EI, 中文CCF-A)