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图像处理的模型和快速格式(因演讲人身体不适,本次报告取消)
台雪成教授,挪威Bergen大学,新加坡南洋理工大学
2018-01-01 12:13  华东师范大学

学术报告:图像处理的模型和快速格式(因演讲人身体不适,本次报告取消
报告人: 台雪成 教授
挪威Bergen大学数学系
新加坡南洋理工大学数理学部
时间: 2010年8月30日下午2:30-3:30
地点: 中山北路校区理科大楼A座1414室


Title: Modelling and fast schemes for image processing

Speaker: Tai Xue-Cheng
Division of Mathematical Sciences,
School of Physical and Mathematical Sciences,
Nanyang Technological University, Singapore 637616
and
Department of Mathematics, University of Bergen,
Johannes Brunsgate 12 5007, Bergen, Norway.


Abstract:

In this series of talks, we first introduce models for image
processing based on partial differential equations. This part wil
cover the well-knows models related to ROF (total variation model),
Mumford-Shah model, Euler's elastica model. Then we will give some
details in using these models for image processing include: image
restration, image segmentation, noise removal and image inpainting.

In order to use these models for real indutrial applications, fast
numerical methods are needed. We start with the traditional gradient
decent algorithms. Afterwards, we will go through some modern fast
numerical schemes including: Dual algorithms, Alternating minimization
algorithms, Augmented Lagrangian methods, graph cuts schemes and some
fast iterative algorithms that have been proposed recently.