个人信息

姓　　名: 王力谦 性　　別: 女 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: (081002)信号与信息处理
专业型硕士招生类别(领域): (085400)电子信息

个人简介:毕业于南京理工大学，分别于2006年、2008年和2015年获理学学士、工学硕士和工学博士学位。目前从事信号与信息处理等方面的教学科研工作。主持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各一项，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2项国家发明专利授权。担任Signal Processing，IEEE Transactions on Image Processing，IEEE Intelligent Transportation Systems Magazine，Journal of Real-Time Image Processing等多个学术期刊的审稿人。


研究领域:主要研究方向为图像处理与计算机视觉（图像复原、图像增强、超分辨率重建等），模式识别与机器学习算法。
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), **, 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): e**, 2018.(SCI，EI)
[10]
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)
[11]WenZe Shao, Qi Ge, Liqian Wang, YunZhi Lin, HaiSong Deng. A new variational approach to deblurring low-resolution images. Int. Conf. Graphics and Image Processing, 1-11, 2018. (EI)
[12]
Maoxiang Yang, Guijin Tang, Xiaohua Liu, Liqian Wang, Ziguan Cui, Suhuai Luo. Low-light image enhancement based on Retinex theory and dual-tree complex wavelet transform. Optoelectronics Letters, 14(6):470-475, 2018. (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. 9.9.(已授权)
[2] 一种利用2D CCA的单幅图像去雾方法. 3.6.(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. 5.2.
[4] 一种自适应伽马校正的彩色图像对比度增强方法. 4.X.
专著：
[1] Color equalization and Retinex. in Color Image and Video Enhancement. Springer, Berlin Heidelberg，ISBN：28.