刘新武


性 别：男
职称：副教授
学 历：博士研究生
学院：数学与计算科学学院
系部所：信息与计算科学系
执教层次：硕士生导师
电话：
电子邮箱：xinwul@126.com


基本情况 刘新武，男，博士，副教授，奋进****，硕士生导师。主要从事图像处理、微分方程数值解和优化算法方面的研究工作，已主持国家自科基金项目1项、湖南省自科基金项目2项以及湖南省教育厅项目2项。以独作或第一作者在国际知名期刊发表学术论文20余篇，其中18篇被SCI源刊收录。



学习经历 1. 2006.09～2008.06 湖南大学 应用数学专业硕士研究生
2. 2008.09～2011.06 湖南大学 应用数学专业博士研究生







工作经历 2011.06～至今 湖南科技大学 数学与计算科学学院教师



主持课题 1. 湖南省自然科学基金面上项目: 非凸全广义变差正则化的图像复原模型和快速算法研究，2020JJ4285，2020.01～2022.12.
2. 湖南省教育厅优秀青年项目: 基于非凸TGV和小波框架的图像恢复新方法研究，19B215，2019.10～2022.09.
3. 国家自然科学基金青年项目: 基于全广义变差和小波变换的图像卡通-纹理分解研究，**，2015.01～2017.12.
4. 湖南省自然科学基金青年项目: 全广义变差正则化的图像复原模型及算法研究，14JJ3105，2014.01～2016.06.
5. 湖南省教育厅一般项目: 图像复原与分解的变分PDE新方法研究，13C320，2013.09～2015.06.





代表性论文 1. Xinwu Liu, Nonconvex total generalized variation model for image inpainting, Informatica, 2020, 1-14, (SCI).
2. Xinwu Liu, Proximal alternating minimization method for adaptive TGV-based image restoration, Multimedia Tools and Applications, 2020, 1-14, (SCI).
3. Xinwu Liu, Yue Chen, NLTV-Gabor-based models for image decomposition and denoising, Signal, Image and Video Processing, 2020, 14(2): 305-313. (SCI).
4. Xinwu Liu, Total generalized variation and wavelet frame-based adaptive image restoration algorithm, The Visual Computer, 2019, 35(12): 1883-1894. (SCI).
5. Xinwu Liu, Total generalized variation and shearlet transform based Poissonian image deconvolution, Multimedia Tools and Applications, 2019, 78(13): 18855-18868. (SCI).
6. Xinwu Liu, Primal-dual method for hybrid regularizers-based image restoration with impulse noise, Circuits, Systems, and Signal Processing, 2019, 38(3): 1318-1332. (SCI).
7. Xinwu Liu, A new TGV-Gabor model for cartoon-texture image decomposition, IEEE Signal Processing Letters, 2018, 25(8): 1221-1225. (SCI).
8. Xinwu Liu, Alternating minimization method for image restoration corrupted by impulse noise, Multimedia Tools and Applications, 2017, 76(10): 12505-12516. (SCI).
9. Xinwu Liu, Augmented Lagrangian method for total generalized variation based Poissonian image restoration, Computers & Mathematics with Applications, 2016, 71(8): 1694-1705. (SCI).
10. Xinwu Liu, Weighted total generalised variation scheme for image restoration, IET Image Processing, 2016, 10(1): 80-88. (SCI).
11. Xinwu Liu, Efficient algorithms for hybrid regularizers based image denoising and deblurring, Computers & Mathematics with Applications, 2015, 69(7): 675-687. (SCI).
12. Xinwu Liu, Lihong Huang, An efficient algorithm for adaptive total variation based image decomposition and restoration. International Journal of Applied Mathematics and Computer Science, 2014, 24(2): 405-415. (SCI).
13. Xinwu Liu, Lihong Huang, A new nonlocal total variation regularization algorithm for image denoising. Mathematics and Computers in Simulation, 2014, 97: 224-233. (SCI).
14. Xinwu Liu, Lihong Huang, Poissonian image reconstruction using alternating direction algorithm. Journal of Electronic Imaging, 2013, 22(3), 033007. (SCI).
15. Xinwu Liu, Lihong Huang, Total bounded variation based Poissonian images recovery by split Bregman iteration. Mathematical Methods in the Applied Sciences, 2012, 35(5): 520-529. (SCI).
16. Xinwu Liu, Lihong Huang, Zhenyuan Guo, Adaptive fourth-order partial differential equation filter for image denoising. Applied Mathematics Letters, 2011, 24(8): 1282-1288, (SCI).
17. Xinwu Liu, Lihong Huang, Split Bregman iteration algorithm for total bounded variation regularization based image deblurring. Journal of Mathematical Analysis and Applications, 2010, 372(2): 486-495, (SCI).