学术报告-芦碧波

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2017-09-11

学术报告

题      目:A General Framework for Anisotropic High Order Variational Method for Image Denosing


报  告  人:芦碧波  (邀请人:黄锐)

                        河南理工大学


时      间:2017-09-13 15:30--16:30

地      点:学院401报告厅

报告人简介:

    芦碧波副教授,2008年毕业于吉林大学数学学院,目前在河南理工大学计算机科学与技术学
院从事教学与科研工作。研究方向为高阶变分图像处理、HDR与色调映射等。主持国家自然
科学基金两项。


摘      要:

   The general framework of low order variational and PDEs method for image denoising
have been well established.In this talk, we will first review the current high order
variational models and then present an anisotropic high order variational framework. As a particular case, we will present a new high order model inspired by the surface theory in differential geometry. The analysis shows that this model is a rotation version of the classical total variation (TV) model in moving Frent--Serret frame.