学术报告-贾志刚

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2018-01-18 15:10:00

学术报告

题      目:A New TV-Stokes Model for Image Restoration with Fast Algorithms

报  告  人:贾志刚  教授  (邀请人:陈小山)

                        江苏师范大学


时      间:2018-01-18 10:00--10:40

地      点:学院401

报告人简介:

        贾志刚是江苏师范大学教授,主要从事数值代数研究,在图像处理,矩阵扰动分析等方面发表,主持多项国家自然科学基金和省面上项目。在国际期刊《SIAM Matrix Anal.Appl.》和《BIT》等期刊上发表论文。


摘      要:

      In this talk, we propose a new TV-Stokes model for image deblurring with a good geometry explanation. In the tangential field smoothing, the data fidelity term is chosen to measure the distance between the solution and the orthogonal projection of the tangential field of the observation image onto the range of the conjugate of the blurry operator, while the total variation of the solution is chosen as the regularization term. In the image reconstruction, we compute the smoothing part of the image from the smoothed tangential field for the first step, and use an anisotropic TV model to obtain the“texture” part of the deblurred image. The solvability properties for the minimization problems in two steps are established, and fast algorithms are presented