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【6月28日】Analog Image Estimation and Applications in Multispectral Image Super Resolution

[发表时间]:2018-06-20 [来源]:统计与数学学院 [浏览次数]:

大发888手机版登录 www.gansofood.com   学术报告: 中央财经大学统计与数学学院学术报告会

  时间:2018年6月28日(星期四)14:00-15:00

  地点:学院南路校区,学术会堂603

  报告题目:Analog Image Estimation and Applications in Multispectral Image Super Resolution

  报告人:Weihong Guo, Case Western Reserve University, USA

  报告摘要:From pictures taken by smart phones to x-ray pictures doctors use for diagnosis, images become an important part of our life. High quality images of various dimensions are important for both visualization and analysis purpose. Image super resolution algorithms aim at enhancing resolution of images obtained from hard ware devices with limited resolution for better image quality. Different from most of the existing approaches that focus on discrete modeling and computing, we study how to recover the analog image, the underlying intensity function defined on a continuous domain, which provides more details in more flexible resolution. The idea is to find a “basis” that might be redundant to represent the underlying intensity function and use known information to find the coefficients of the basis. Various methods have been explored to account for modeling discrepancy. We will also present recent results on applying the idea to multispectral and hyperspectral imaging. Competitive numerical results have been obtained.

 The results are based on collaboration with graduate student Richard Lartey and professors Liang-Jian Deng (UESTC, China),  Jocelyn Chanussot and Mauro Dalla (Univ. Grenoble Alpes, France), Gemine Vivone (UNISA, Italy).

  报告人简介:Weihong Guo is an Associate Professor in Applied Mathematics at Case Western Reserve University, USA. She received the Ph.D. degree in Applied Math from University of Florida (USA) in 2007. She also received a Master’s degree in Statistics from the same university the same year. Her research interests include image reconstruction and image processing such as image super-resolution, image segmentation, image registration and their applications in medicine, biology, remote sensing, satellite imaging etc. Prof. Guo is an associate editor of the international journal Inverse Problems and Imaging since 2012. She also served as an editor for International Journal of Biomedical Imaging. She has published more than 30 papers in various well-known international journals including SIAM J. Imaging Sciences, Inverse Problems and Imaging, Information Sciences, Journal of Computational and Applied Mathematics, IEEE Transactions on Image Processing, EEE Transactions on Circuits and Systems for Video Technology, Magnetic Resonance Imaging and Magnetic Resonance in Medicine. Prof. Guo has also referred papers for more than 20 international journals and conferences.

  本次活动受中央财经大学2018专题学术讲座项目资助。

 


[编辑]:张萌