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A convexity based method for approximation and interpolation of sampled functions

2018-12-13 09:44    

报告人:张克威 【英国诺丁汉大学】

时   间:2018-04-03 16:00-16:50

地   点:卫津路校区天津大学6号楼111教室


报告人简介

英国诺丁汉大学教授

报告内容介绍

      I will briefly introduce the notions of compensated convex transforms and their basic properties. We apply these transforms to define devices for approximating and interpolating sampled functions in Euclidean spaces. I will describe the Huasdorff stability property against samples and the error estimates for inpainting for a given continuous or Lipschitz function.  Prototype examples will also be presented and numerical experiments on applications to salt & pepper noise reduction, the level set reconstruction and image inpainting will also be illustrated. This is a joint work with Elaine Crooks and Antonio Orlando.

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