In this talk, we focus on image restoration/segmentation/super-resolution, etc. We propose some new models for image segmentation/super-resolution. We then employ the tailored-finite-point method (TFPM), to solve the associated equation based on variational principle. Numerical experiments are presented to demonstrate the effectiveness of the proposed models and its features.
报告人简介:黄忠亿,清华大学数学科学系长聘教授、博士生导师,一直从事计算数学与科学工程计算方面的研究。2020年获国家杰出青年基金资助,2013年获优秀青年基金资助。