报告题目：Low-rank minimization-based methods for image restoration

报告人：严辉银

报告时间：2022年11月8日14：30—15：15

报告地点：304永利集团官网入口315报告厅

报告摘要： In this talk, we first give a introduction about some basic image restoration problems and the corresponding mathematic models. Then, we introduce the famous image restoration methods proposed in recent years. Finally, we simply present our researches on image restoration and they include transformation-based method for multiplicative noise removal, weighted nuclear norm minimization and matrix rank minimization-based methods for image restoration.

严辉银，博士，讲师，2018年博士毕业于兰州大学. 主要从事数值代数和数字图像处理方面研究工作.在国内外重要学术期刊Information Sciences, Digital Signal Processing, Communications in Computational Physic, Journal of Electronic Imaging, Applied Mathematics and Computation, Communications on Applied Mathematics and Computation上发表SCI论文5篇，ESCI论文2篇.