杨晓敏

杨晓敏，女，教授。2007年7月至今，在四川大学电子信息学院任教，2018年起任四川大学教授。分别于2002年6月和2007年6月获得四川大学通信与信息系统学士学位及博士学位。2009年10月至2010年10月在澳大利亚阿德莱德大学从事为期一年的博士后研究。主要从事图像处理、机器学习等理论和技术研究，同时具有丰富的信息化项目工程经验。担任多个国际学术期刊的审稿人。在近几年内发表文章40余篇，其中被SCI、EI收录的论文近30篇。    

主要科研工作：

(1)基于大数据规模的遥感图像超分辨率研究，61711540303，国家自然科学基金，2017.7-2019.6，项目负责人。
(2)红外视频时空超分辨率研究，61701327，国家自然科学基金，2018.1-2020.12，项目负责人。
(3)基于多源数据的图像融合技术研究，重点实验室基金，2016.10-2017.10，项目负责人。
(4)联合基于学习的超分辨率技术和多传感器超分辨率技术在红外图像复原中的研究，61271330，国家自然科学基金，2013.1-2016.12，第一主研。
(5)图像识别及图像增强关键技术研究，四川省重大科技支撑计划，2014.1-2015.12，第一主研。
(6)面向网络规模的特定目标图像检索，教育部博士点基金，2013-2016，项目负责人。

[1] Yang X(杨晓敏), Wu W, Liu K, et al. Multiple dictionary pairs learning and sparse representation-based infrared image super-resolution with improved fuzzy clustering[J]. Soft Computing, 2017,https://doi.org/10.1007/s00500-017-2812-3. (SCI)

[2]Tao, F., Yang, X. *(杨晓敏), Wu, W. et al. Retinex-based image enhancement framework by using    region covariance filter[J]. Soft Computing.2017, https://doi.org/10.1007/s00500-017-2813-2. (SCI)

[3] X. Yang(杨晓敏), W. Wu(吴炜), K. Liu. Multi-sensor Image Super-resolution with Fuzzy Cluster by Using Multi-scale and Multi-view Sparse Representation for Infrared Image[J]. Multimidia tools and applications. 2017,https://doi.org/10.1007/s11042-017-4639-4 .(SCI)

[4]W. Wu(吴炜), X. Yang*(杨晓敏), K. Liu. A novel scheme for infrared image enhancement by using weighted least squares filter and fuzzy plateau histogram equalization[J]. Multimidia tools and applications.2017, https://doi.org/10.1007/s11042-017-4643-8. (SCI)

[5]X. Yang(杨晓敏), W. Wu(吴炜), K. Liu. Fast multisensor infrared image super-resolution scheme with multiple regression models[J]. Journal of Systems Architecture. 2016, 64:11–25. (SCI)

[6] X. Yang(杨晓敏), K. Liu, Z. Gan, B. Yan. Multiscale and multitopic sparse representation for multisensor infrared image superresolution[J]. Journal of Sensors. 2016,7036349. (SCI)

[7] W. Wu(吴炜), X. Yang*(杨晓敏), K. Liu. A new framework for remote sensing image super-resolution: Sparse representation-based method by processing dictionaries with multi-type features[J]. Journal of Systems Architecture. 2016, 64:63–75. (SCI)

[8]Y. Wang, X. Yang*(杨晓敏), W. Wu(吴炜), B. Su, G. Jeon. An X-ray inspection system for illegal object classification based on computer vision[J]. International Journal of Security and Its Applications. 2016, 10(10) :155–168. (EI)

[9] 李红, 吴炜*, 杨晓敏, 刘凯. 基于主特征提取的Retinex多谱段图像增强[J]. 物理学报. 2016, 65(16):57–72. (SCI)

[10]Y. Song, W. Wu*(吴炜), Z. Liu, X. Yang(杨晓敏), K. Liu, W. Lu. An adaptive pansharpening method by using weighted least squares filter[J]. IEEE Geoscience and Remote Sensing Letters. 2016,13(1):18–22.(SCI)

[11]K. Li, W. Wu*(吴炜), X. Yang(杨晓敏), Y. Zhang, B. Yan. Nonsubsampled Contourlet Transform Based Infrared Image Super-Resolution by Using Sparse Dictionary and Residual Dictionary[J]. International Journal of Multimedia and Ubiquitous Engineering. 2016,11(7) :219–234. (EI)

[12]P. Wang, W. Wu*(吴炜), X. Yang(杨晓敏), K. Liu, G. Jeon. Image quality assessment with saliency map in nonsubsampled contourlet transform domain[J], International Journal of Multimedia and Ubiquitous Engineering. 2016, 11(6):349–360. (EI)

[13]Y. Long, S. Wang, W. Wu(吴炜), X. Yang(杨晓敏), G. Jeon, K. Liu. Decoding line structured light patterns by using Fourier analysis[J]. Optical Engineering. 2015,54(7):1–6.(SCI)

[14]Y. Long, S. Wang, W. Wu(吴炜), X. Yang(杨晓敏), G. Jeon, K. Liu. Structured -light-assisted wireless digital optical communications. Optics Communications. 2015, 355(11): 406–410 (SCI)

[15]W. Gan , X. Wu , W. Wu(吴炜), X. Yang(杨晓敏), C. Ren. Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter[J]. Infrared Physics & Technology. 2015,72:37–51.(SCI)

     

[16]X. Yang(杨晓敏), W. Wu(吴炜), K. Liu, H. Hua. Infrared image recovery from visible image by using multi-scale and multi-view sparse representation[C]. Proceedings of 11th International Conference on Signal-Image Technology & Internet-Based Systems. 2015:554–559. (EI)

[17]苏冰山, 吴炜*, 杨晓敏. 一种基于多传感器的红外图像正则化超分辨率算法[J]. 光电子·激光. 2015, 2:368–377.(EI)

[18]杨晓敏, 吴炜, 干宗良, 严斌宇, 张莹莹. 一种基于稀疏字典和残余字典的遥感图像超分辨重建算法[J]. 四川大学学报(工程版). 2015, 47(3):71–76. (EI)

[19]X. Yang(杨晓敏), W. Wu(吴炜), W. Chen , G. Jeon , B. Yan. Remote sensing image super-resolution using dual-dictionary pairs based on sparse presentation and multiple features[C]. Proceedings of International Conference on Internet Multimedia Computing and Service. 2014: 90–94. (EI)

[20]杨晓敏, 吴炜, 严斌宇. 基于双重字典及联合特征的遥感图像超分辨率算法[J]. 四川大学学报(自然版). 2015, 52(5): 1045–1050.

[21]X. Wang, X. Yang*(杨晓敏), X. He. A high accuracy flow segmentation method in crowded scenes based on streakline [J]. Optik. 2014,125(3):924–929. (SCI)

[22]陈为龙, 郭黎, 雷刚, 吴炜, 杨晓敏^*. 多视频超分辨率的时间重建倍数[J]. 光学精密工程. 2014, 22(9): 2518–2527. (EI)

[23]W. Wu(吴炜), X. Yang(杨晓敏), Y. Pang, J.Peng, G. Jeon. A multifocus image fusion method by using hidden Markov model[J]. Optics Communications. 2013, 287(1): 63–72.(SCI)

[24]K. Liu, X. Luo, W. Wu(吴炜), X. Yang(杨晓敏), X. Zheng. Fast and accurate calibration algorithm for laser pointer tracking via structured light illumination[J]. Electronic Letters. 2014, 50(25):1946–1948.(SCI)

 

专著
数字图像处理，四川大学出版社。

近年来在图像超分辨率技术、热红外图像处理、视频及图像增强、车牌图像自动识别、人脸图像识别、主持和参与了多项国家级项目，发表了多篇学术论文，并申请了一系列发明专利。其中在图像超分辨率技术，热红外图像处理、视频及图像增强、图像识别等应用方面取得了一些研究成果。    

IEEE member，中国电子学会会员