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法国南布列塔尼大学刘全升教授学术报告通知
发布人:张艺芳  发布时间:2023-07-19   浏览次数:345

   应1xbet 주사위靳水林教授邀请,法国南布列塔尼大学刘全升教授将于近日来访我校并做报告,欢迎感兴趣的师生参加!报告信息如下:

报告人:刘全升教授

报告题目:Mathematical principles in image denoising by non-local means filter

摘要:Restoring a noisy image is a classical and important subject in image processing. An important progress was marked in 2005 by the introduction of the non-local means filter to remove the Gaussian noise. I will show how mathematical considerations, using probability theory, statistical estimation, and optimization techniques, can lead to a good comprehension and significant improvements of the non-local means filter and related algorithms. The improvements include in particular the optimization of the weights in the original filter for Gaussian noise, and the adaption of the filter to different kinds of noises, such as Poisson noise, impulse noise and mixture of noises.

报告时间:2023720日,下午1400-1600

报告地点理学楼901

 

报告人简介:刘全升,法国特级教授,享受法国优秀科研津南布列塔尼大学数学系主任大西洋布列塔尼数学实验室副主任多年任南布列塔尼大学行政议会成员科技议会成员和专家评委、以及国际交流专员。多次任中国教育部通讯评审专家、新世纪数学奖通讯评审专家法国国家基金委评审专家波兰国家研究中心基金委评审专家。

主要研究方向为概率统计分形几何和数字图像处理。近年主要研究随机环境中的概率统计问题,尤其是关于大偏差理论、随机矩阵乘积,几类重要的随机环境的数学物理和应用概率模型,例如分枝过程、分枝随机游动和图像去噪。在《J. Eur. Math. Soc.》、《Probab. Th. Rel. Fields》、《Annals of Probability》、《Annals of Applied Probability》、《IEEE Trans. Image Processing》、《SIAM J. Imaging Sciences》、《Inverse Problems and Imaging》、《J. Scientific Computing》等期刊上发表100余篇论文。