报告题目： Augmented Lagrangian method for generalized TV-Stokes model for image processing and computer vision

报告人：台雪成 教授 ( Prof. Xue-cheng Tai )
挪威Bergen大学数学系教授 (主要职位)
新加波Nanyang Technological University副教授

时间：2011年1月25日（星期二）上午： 10:00 – 11:30

地点： 中山北路校区理科大楼A座1510室

Abstract：
In this paper, we propose a general form of TV-Stokes models and provide an efficient and fast numerical algorithm based on the augmented Lagrangian method. The proposed model and numerical algorithm can be used for a number of applications such as image inpainting, image decomposition, surface reconstruction from sparse gradient, direction denoising, and image denoising. Comparing with properties of different norms in regularity term and fidelity term, various results are investigated in applications. We numerically show that the proposed model recovers jump discontinuities. Some of the results are based on joint work with C. Wu, J. Hahn and Y. Duan.