题目：An Improved TV-Stokes Model for Image Restoration and Fast Algorithms

报告人：贾志刚（教授），江苏师范大学

摘要：

The famous TV-Stokes models, which improve the restored images comfortable, have been very successful in image denoising. In this talk, we propose an improved 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. Numerical experiments demonstrate that the new deblurring model can capture the details of images hidden in the blurry and noisy image, and the fast algorithms are efficient and robust.

时间：11月27日（周三）10:30-11:30

地点：首师大新教二627

主办单位：565net必赢客户端565net必赢客户端

检测成像北京市高校工程研究中心

北京成像理论与技术高精尖创新中心

欢迎全体师生积极参加！