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闫敬文


职称:教授


广东省数字信号与图像处理重点实验室副主任



教育背景

1987年7月,吉林工业大学(现吉林大学)电子工程系,工学学士学位;1992年7月,中国科学院长春地理所,《地图学与遥感》理学硕士学位;1997年12月,中国科学院长春光机所,《光学》理学博士学位。2002年9月-2003年8月,公派留学到巴黎高科做访问学者,2010年8月-2010年11月,佐治亚理工学院(GaTech.)工业工程系访问教授。



研究领域

小波分析及应用,压缩感知,信号稀疏表示,遥感图像处理和嵌入式系统、FPGA和DSP硬件开发。


发表论文

1. Zemin Cai, Jianhuang Lai,Chaoqiang Tan, Jingwen Yan, LEARNING AN ADAPTIVE DICTIONARY USING A PROJECTED GRADIENT METHOD AND ITS APPLICATION ON IMAGE DE-NOISING, International Journal of Wavelets, Multiresolution and Information Processing,10(1): 1250004-1:14 (2012).

2. G. Lu, J. Yan,Y. Kou and J. Zhang, Image registration based on criteria of feature point pair mutual information, IET image processing, V5(6):560-566,2011.( 通信作者,SCI四区)

3. 张宗念,黄仁泰,闫敬文,压缩感知信号盲稀疏度重构算法,电子学报,2011,39(1):18-22。

4. Xiaofen Lin ; Gang Lu ; Jingwen Yan ; Wei Lin. Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization[C]. 2011 Sixth International Conference on Image and Graphics (ICIG).2011:205-210. ( 通信作者,EI和ISTP检索)

5. Yan, Jingwen, Wang Zhixi, Dai Longquan, Huang Daxiang, Image denoising with Grouplet transform ,Proceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010, 3: 65-69.

6. Huang Daxiang, Yan Jingwen, Zhang Anfa, Wang Zhixi, The SURE approach to SAR image denoising based on multiscale bandelet contextual model,2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, pp.1-4, 23-25 April 2010.

7. 卢刚,闫敬文,寇业泉,张建中. 由双树复数小波变换的父系数及邻域系数实现图像去噪[J]. 光学 精密工程, 2009, 17(4): 916~922。

8. 卢刚,闫敬文,应用小波域三维Context模型的视频图像去噪,光学精密工程,2009, 17(11) 2857-2863。

9. 屈小波 闫敬文等, 非降采样Contourlet域内空间频率激励的PCNN图像融合算法, 自动化学报, 2008, 34(12):1508-1514, EI收录(通信作者)

10. 肖弘智 闫敬文等 基于Surfacelet变换的3D Context模型视频去噪新方法, 电子学报,2008,36(7):1460-1464, EI收录(通信作者)。

11. Qiaobo Qu, Xuewei Hu, Jingwen Yan, Image Fusion Algorithm Based On Orientation Information Motivated Pulse Coupled Neural Networks, The seventh World Congress on Intelligent Control and Automation-WCICA 2008, EI和ISTP收录(通信作者)。

12. Qiaobo Qu, Jingwen Yan, Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks. , The 2nd International Conference on Bioinformatics and Biomedical Engineering-iCBBE2008, 2008(通信作者)。

13. Qiaobo Qu, Guofu Xie, Jingwen Yan, Image Fusion Algorithm Based on Neighbors and cousins information in Nonsubsampled Contourlet Transform Domain, ICWAPR 2007,Beijing, China, 2-4 Nov. 2007, Vol.( 4): 1797-1802., EI,ISTP收录(通信作者).

14. 闫敬文 陈嘉臻,分组KLT/IWT高光谱准无损压缩新方法, 光学学报, 2007年10月, Vol.27(10):1740-1744, EI收录。

15. 闫敬文,余见,屈小波,基于优化预测运动矢量的快速运动估计算法, 光学精密工程,2007年10月, Vol.15(10):1622-1627, EI收录。

16. Qiaobo Qu, Jingwen Yan,A Novel Image Fusion Algorithm Based on Bandelet Transform, Chinese Optics Letters, Oct.,2007, Vol5(10):569-572, SCI和EI收录(通信作者).

17. Qiaobo Qu, Jingwen Yan,Multi-focus Image Fusion Algorithm Based on Regional Firing Characteristic of Pulse Coupled Neural Network, BIC-TA2007 (通信作者)。

18. Jingwen Yan,Jiazhen Chen, SFCVQ and EZW coding method based on Karhunen-Loeve transformation and integer wavelet transformation, CHINESE OPTICS LETTERS 5(3):153-155,March 10, 2007 , SCI和EI收录。

19. 闫敬文,沈贵明,胡晓毅等,基于KL变换和小波谱特征矢量量化的三维谱像数据压缩, 《光学学报》,2003年第10期, 23(10):1163-1167.

20. Jingwen Yan,Ming Zhu, A NEW IMAGE ENHANCEMENT AND OBJECT OBTAINING METHOD IN THE ENVIRONMENT OF LOW CONTRAST AND STRONG BACKGROUND NOISE., 3rd International Conference on Wavelet Analysis and Its Applications (WAA), Chongqing, China. MAY 29-31 2003. V2 :688-693, EI和ISTP收录。

21. 闫敬文,周爱升,基于小波变换和对块零树编码压缩方法, 《电子学报》2002年30卷第8期,pp.1160~1162 ., EI收录

22. 闫敬文等改进对块零树编码压缩方法对超光谱数据压缩 , 《光学学报》, 22(7):pp.834-838, 2002年, EI收录。

23. Jingwen Yan et el, An Improved 3D SPIHT Coding for Hyperspectral Imagery Data Compression, The Chinese Journals of Laser,B11(4): 2002. , EI收录。

24. 闫敬文,卢刚,王超等一种基于小波变换技术的SAR图像增强系统, 《海洋学报》23(5):130-135。

25. Jingwen Yan et el, A Biblock Wavelet Zero Tree Coding for Hyperspectral Imagery Data Compression , The Chinese Journals of Laser, 2001,B10(4):263-270., EI收录。

26. Jingwen Yan et el, An Improvement Biblock Zero Tree Coding for Video Data Compression , SPIE SISMIPPR 22-24 October 2001, Wuhan China. 4551:193-198, EI和ISTP收录。

27. Jingwen Yan et el, A SAR image enhancement technique based on morphological wavelet transformtion, SPIE SISMIPPR 22-24 October 2001, Wuhan China. 4548:203-208, EI和ISTP收录。

28. 连学强,丁兴号,闫敬文,基于无下采样Contourlet变换的SAR图像去噪, 仪器仪表学报,2008,29(3):512-516。

科研项目

先进信号处理技术及其应用研究基于物理光流特征的视频监控智能分析方法研究基于深度学习的遥感图像目标分类识别与解释方法研究基于空间-谱间自适应稀疏表示的高光谱压缩成像方法研究基于L0范数的航空图像多尺度去模糊系统基于物理光流特征的视频监控异常行为检测与识别方法研究面向触摸屏行业的机器视觉技术服务平台建设基于属性加权聚类分析算法的医学信息挖掘及健康评估平台开发稀疏超完备字典构造新方法及其轨道交通检测应用广东高校数字内容版权管理及应用工程技术研究中心建设项目SAR图像配准拼接技术研究基于SCADA视频监控系统的研究及其实现遥感相机图像MTF补偿算法研究先进信号处理技术及其应用研究SAR图像处理与目标识别基于物理光流的流体运动图像计算新方法研究基于光传感技术的火车车轮质量初步检测基于Grouplet变换的SAR图像压缩感知编码基于局部模型的复杂时间序列预测研究新的多尺度图像分析与识别方法研究微波湿度计183GHz-3通道图像处理SAR图像融合处理与目标识别技术研究多视觉SAR图像拼接与自动目标检测提取技术研究


科研论文

1.高光谱图像分类的研究进展

2.基于L0范数正则项的运动图像去模糊一种近红外图像中人眼定位的方法基于HOG-多尺度LBP特征的人脸性别识别

3.人脸识别:从二维到三维基于尺度噪声水平估计的双树复数小波变换图像去噪方法

4.变换的3D Context模型视频去噪新方法非降采样Contourlet域内空间频率激励的PCNN图像融合算法《超小波分析及应用》

5.基于优化预测运动矢量的快速运动估计算法分组Karhun-Loeve变换/整数小波变换高光谱影像准无损压缩新方法《数字图像处理》(MATLAB版)

6.Compressive sensing of wind speed based on non-convex p -norm sparse regularization optimization for structural health monitoring

7.Improvement of Scanlan's Nonlinear Model based on Residual Analysis

8.Research on Color Image Segmentation

9.Target detection for SAR images based on beamlet transform

10.UndersampledHyperspectralImageReconstructionBasedonSurfaceletTransform

11.An algorithm for tight frame grouplet to compute association fields

12.A novel method of parameter identification based on nonlinear empirical model for vortex- induced vibration

13.High quality multi-focus image fusion using self-similarity and depth information

14.A Novel Real-time Tracking Algorithm Using Spatio-Temporal Context and Color Histogram

15.Bessel sequences and its F-scalability

16.Karhunen-Loève transform for compressive sampling hyperspectral images

17.Target Detection for SAR Images Based on Beamlet Transform

18.Under sampled hyperspectral image reconstruction based on surfacelet transform

19.Algorithm for Image Fusion Based on Orthogonal Grouplet Transform and Pulse Coupled Neural Network

20.Learning an Adaptive Dictionary

21.Using a Projected Gradient Method and Its Application on Image

22.Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization

23.Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks

24.A Novel Video Denoising Method Based on Surfacelet Transform

25.A Novel Inter-scale Correlation Image Denoising Method Based on Dual-Tree M-Band Wavelet

26.A Wavelet-Based 3D Surfacelet Transform

27.SAR Image Denoising Based on Orthogonal Bandlet Domain with Context Modeling

28.The Cycle Spinning-Based Sharp Frequency Localized Contourlet Transform for image Denoising

29.Multi-focus Image Fusion Algorithm Based on Regional Firing Characteristic of Pulse Coupled Neural Network

30.Image Fusion Algorithm Based on Neighbors and cousins information in Nonsubsampled Contourlet Transform Domain

31.A Novel Image Fusion Algorithm Based on Bandelet Transform

32.SFCVQ and EZW coding method based on Karhunen-Loeve transformation and integer wavelet transformation

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