个人信息

姓  名: 王力谦 性  別: 导师类型: 硕士生导师
技术职称: 讲师 电子邮箱: wanglq@njupt.edu.cn
学术型硕士招生学科: (081000)信息与通信工程
专业型硕士招生类别(领域): (085400)电子信息
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个人简介:

南京邮电大学通信与信息工程学院教师,硕士生导师,毕业于南京理工大学,获理学学士、工学硕士和工学博士学位。获得2022年度江苏省科学技术奖二等奖。
目前从事信号与信息处理等方面的教学科研工作。主持并结题国家自然科学基金青年项目、江苏省自然科学基金青年项目、江苏省高校自然科学研究面上项目,并作为主要成员参与多项国家自然科学基金项目;以第一作者在Signal Processing,IEEE Transactions on Image Processing等国际学术刊物和会议上发表多篇学术论文,获得多项国家发明专利授权。担任Signal Processing,IEEE Transactions on Image Processing,IEEE Intelligent Transportation Systems Magazine,Digital Signal Processing,Journal of Real-Time Image Processing等多个学术期刊的审稿人。






研究领域:

主要研究方向为计算机视觉、深度学习与图像处理,包含图像复原、图像增强、超分辨率重建、姿态估计等。 

 主要成果:

[1] Liqian Wang, Liang Xiao, Zhihui Wei. Image dehazing using 2D canonical correlation analysis. IET Computer Vision, 9(6):903-913, 2015. (SCI,EI) 

[2] Liqian Wang, Liang Xiao, Hongyi Liu, Zhihui Wei. Local brightness adaptive image colour enhancement with Wasserstein distance. IET Image Processing, 9(1):43-53, 2015. (SCI,EI)

[3] Liqian Wang, Liang Xiao, Hongyi Liu, Zhihui Wei. Variational Bayesian method for Retinex. IEEE Transactions on Image Processing, 23(8): 3381-3396, 2014. (SCI,EI) 

[4] Liqian Wang, Liang Xiao, Jun Zhang, Zhihui Wei. New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation. Signal Processing, 93(4): 661-670, 2013.(SCI,EI) 

[5] Liqian Wang, Wenze Shao, Qi Ge, A deep convolutional neural network-based low-light image enhancement using illumination map, Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137311, 2019 (EI)

[6] Liqian Wang, Wenze Shao, Qi Ge, Haibo Li, Liang Xiao and Zhihui Wei, Video enhancement using temporal-spatial total variation Retinex and luminance adaptation, 2017 International Conference on Progress in Informatics and Computing (PIC), 2017, pp. 108-112 (EI)

[7] Liqian Wang, Liang Xiao, Zhihui Wei. Compound tetrolet sparsity and total variation regularization for image restoration. Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021T, 2011.(EI) 

[8] Liqian Wang, Liang Xiao, Lili Huang, Zhihui Wei. Nonlocal total variation based speckle noise removal method for ultrasound image. 2011 4th International Congress on Image and Signal Processing, 2: 709-713, 2011. (EI) 

[9] Qi Ge, Wenze Shao, Liqian Wang. Joint bayesian convolutional sparse coding for image super-resolution. PLoS ONE, 13(9): e0201463, 2018.(SCI,EI) 

[10] Jian Wang; Liuyi Li; Wenze Shao; Liqian Wang. Event Camera Monocular Depth Estimation: An Event-Tailored State-Space Model-based Approach, IEEE Transactions on Instrumentation and Measurement, 2026, 75(2026) (SCI,EI)

[11] Wenze Shao; Haisong Deng; Qi Ge; Liqian Wang. RTR-DPD: Reweighted Tikohonov regularization for blind deblurring via dual principles of discriminativeness, Multidimensional Systems and Signal Processing, 34(1): 291-320, 2023. (SCI,EI)

[12] Wenze Shao, Yuanyuan Liu, Luyue Ye, Liqian Wang, Qi Ge, Bingkun Bao, Haibo Li. DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks. Signal Processing, 168 (2020) 107338, 2020. (SCI,EI)

专利: 

[1] 克服彩色图像非均匀光照的自适应画质增强方法. 201310044039.9.(已授权)
[2] 一种利用2D CCA的单幅图像去雾方法. 201410536573.6.(已授权)
[3] 一种利用时空照度图的低照度彩色视频增强方法. 201810803845.2.(已授权)
[4] 一种基于多层次特征提取融合的低光照图像增强方法. 202211088239.X(已授权)
[5] 基于半耦合深度卷积字典学习的图像超分辨率重建方法. 202211133791.6(已授权)
[6]一种基于通道空间复合注意力的低照度图像增强方法.202310647998(已授权)
[7]一种基于混合架构时空建模的三维人体姿态估计方法.202511188715.9(已授权)
[8]一种基于边缘引导和双向矫正残差学习的图像超分辨率重建方法.202311185287.5
[9]一种基于权重共享和迭代数据优化的低光照图像增强方法.2023113738304
[10]基于跨窗口信息聚合与大核注意的图像超分重建Transformer方法.202510172107.2
[11]基于transformer盲点网络和知识蒸馏的图像去噪方法.202510276674.2

专著:
[1] Color equalization and Retinex. in Color Image and Video Enhancement. Springer, Berlin Heidelberg,ISBN:978-3319093628.
[2] 基于图像先验建模的超分辨增强理论与算法——变分PDE、稀疏正则化与贝叶斯方法. 国防工业出版社,ISBN:9787118113129.