学术成果 |
专著: 1.张丽娟,李东明,杨进华,王珺楠,李超然.基于自适应光学的大气湍流退化图像复原技术研究,清华大学出版社,2017 期刊论文: 1.Lijuan Zhang, Dongming Li, Wei Su*, Jinhua Yang, Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method, Abstract and Applied Analysis, 2014:1-10,DOI: 10.1155/2014/ 781607(SCI,WOS:000339268100001,IF:1.27,中科院二区) 2.Lijuan Zhang, Yang LI, Junnan WANG*, and Ying LIU, Research on Adaptive Optics Image Restoration Algorithm Based on Improved Joint Maximum a Posteriori Method, Photonic Sensors, 2018, 8(1):22-28, DOI: 10.1007/ s13320- 017- 0445-x (SCI,WOS:00042856600004,IF:1.317,中科院四区) 3.Dongming Li, Changming Sun, Jinhua Yang, Huan Liu, Jiaqi Peng,Lijuan Zhang*, Robust Multi-Frame Adaptive Optics Image Restoration Algorithm Using Maximum Likelihood Estimation with Poisson Statistics, Sensors, 2017, 7(4):785-804, DOI: 10.3390/s17040785 (SCI,WOS:000400822900126,IF:2.667,中科院三区) 4.D. Li,L. Zhang*, C. Sun, T. Yin, C. Liu, and J. Yang,Robust Retinal Image Enhancement via Dual-tree Complex Wavelet Transform and Morphology-based Method, IEEE Access, 2019,vol.7: 47303-47316. doi: 10.1109/ACCESS.2019.2909788(SCI,IF:3.557,中科院二区) 5.D. Li,G.Qiu,L. Zhang*,Adaptive Optics Image Restoration viaRegularization Priors with GaussianStatistics,IEEE Access, 2020,vol.8:3364-3374. doi:10.1109/ACCESS.2019.2962556(SCI,IF:3.557,中科院二区) 6.张丽娟,殷婷婷,李阳*,王珺楠,刘颖,融合双树复小波和改进形态学的视网膜图像增强,光学精密工程, 2017, 25(10s): 235-243(EI期刊) 7.Lijuan Zhang, Yang LI, Junnan WANG*, and Ying LIU, Research on Adaptive Optics Image Restoration Algorithm Based on Improved Joint Maximum a Posteriori Method, Photonic Sensors, 2018, 8(1):22-28, DOI: 10.1007/ s13320- 017- 0445-x (EI) 8.张丽娟,李东明,杨进华,刘颖,基于帧选择和极大似然估计的自适应光学图像多帧联合去卷积算法研究,吉林大学学报(理学版), 2017, 55(5): 1199-1206 9.张丽娟,杨进华,苏伟,基于改进的期望值最大化的自适应光学图像多帧迭代去卷积算法,兵工学报, 2014, 35(11): 1765-1773(EI检索号:20145200366049 ) 10.张丽娟,杨进华,姜雨彤,李东明,基于双目CCD测距的目标图像匹配算法研究,激光与光电子学进展, 2014, 51(9): 091002-1- 091002-7 11.Lijuan Zhang, Jinhua Yang, Wei Su, Research on Blind Deconvolution Algorithm of Multiframe Turbulence-degraded Images, Journal of Information and Computational Science, 2013, 10(12):3625-3633(EI期刊) 被EI检索的会议论文: 1.Lijuan Zhang, Tingting Yin, Dongming Li , Research on the Retinal Vascular Image Segmentation Algorithm, 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII2017, Beijing, P.R. China, 2017.11.02-11.05 2.Lijuan Zhang, Huan Qiu, Dongming Li, Zhengbo Su, Wavelet-based Curvelet Transform for Turbulence Degraded Image Denoising, 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII2017, Beijing, P.R. China, 2017.11.02-11.05 3.Zhang Lijuan, Qiu Huan, Su Zhengbo, Yin Tingting, Li Dongming, Peng Jiaqi, Su Wei, Blind decovolution algorithm of turbulence images using Gaussian model, 7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA2016, Beijing, P.R. China, 2016. 11.3-11.6 4.Li Dongming,Zhang Lijuan*, Wang Ting, Liu Huan, Yang Jinhua, Chen Guifen, Adaptive optics image restoration algorithm based on wavefront reconstruction and adaptive total variation method, Selected Proceedings of the Chinese Society for Optical Engineering Conferences on International Society for Optics and Photonics, SPIE 2016, Changchun, P. R. China, 2016.7.26-7.29: 101410Z-101410Z-8. 5.Lijuan Zhang, Dongming Li, Hui Zhao, Junnan Wang, Calibration technology on binocular CCD ranging system based on improving Tsai two-step method, 2012 2nd International Conference on Computer Science and Network Technology, ICCSNT2012, Changchun, P.R. China, 2012.12.19-12.20: 247-251. 6.Lijuan Zhang, Dongming Li, Junnan Wang, High-accuracy image registration algorithm using B-splines, 2012 2nd International Conference on Computer Science and Network Technology, ICCSNT2012, Changchun, P.R. China, 2012.12.19-12.20: 279-283. 专利及软件著作权 1.一种视网膜图像增强的方法,中国发明专利,201710369727.0,张丽娟,李阳等. 2.湍流图像去噪方法,中国发明专利,201710370386.9,张丽娟,王珺楠,李阳等. 3.双测试镜测距仪,中国实用新型专利,ZL201120129212.1,2011.4.28,张丽娟,王慧,李东明. 4.基于MES的工厂物流管理系统,软件著作权,2017R11L616315,张丽娟,2017.11 5.传感器管理系统,软件著作权,2017R11L616262,张丽娟,2017.7 |