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【机器学习与反问题的数学理论系列报告】第三场 Preconditioned three-operator splitting algorithm with applications to image restoration
发布时间 : 2022-07-04     点击量:

报告题目:Preconditioned Three-Operator Splitting Algorithm With Applications to Image Restoration

报告时间:20220706日,星期三,上午11:00—12:00

腾讯会议 ID103-393-346

报告人:唐玉超教授,南昌大学数学系

报告简介:In this talk, we introduce several primal-dual splitting algorithms for the convex minimization problem involving a smooth function with Lipschitzian gradient, a finite sum of nonsmooth proximable functions, and linear composite functions. Many total variation-based image processing problems are special cases of such a problem. The obtained primal-dual splitting algorithms are derived from a preconditioned three-operator splitting algorithm applied to the primal-dual optimality conditions in a proper product space. Under appropriate assumptions on the parameters, we prove the convergence of the proposed algorithms. Numerical experiments on a novel image restoration problem are presented to demonstrate the efficiency and effectiveness of the proposed algorithms.

报告人简介:唐玉超,男,南昌大学数学系,教授。2013年gg999策略手机白菜博士毕业。主要研究方向图像处理中的优化模型和算法。在研国家自然科学基金地区项目1项,主持完成国家自然科学基金地区项目、国家自然科学基金青年项目、江西省自然科学基金青年项目和江西省教育厅青年科学基金项目各1项。已在《Inverse Problems and Imaging》和《中国科学数学》等国内外知名期刊发表SCI收录论文30余篇。中国数学会和中国工业与应用数学学会会员。美国数学评论员(112437)。20169月—20179月,受国家留学基金委资助在美国北卡罗来纳大学教堂山分校访问研究一年。


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