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On curvature-guided image filtering and its applications to structure+texture image decomposition

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  • UserAlexander Belyaev (Heriot-Watt University)
  • ClockThursday 12 November 2015, 15:00-16:00
  • HouseMR 14, CMS.

If you have a question about this talk, please contact Carola-Bibiane Schoenlieb.

A structure texture image decomposition is very useful for a number of image processing tasks, as different strategies are supposed to be applied to the structure and texture image components. In this talk, I will describe a new curvature-guided image filtering method and show how it can be used to achieve a high quality structure texture image decomposition. The main idea behind the method consists of applying simple linear filtering schemes to the image level-set curvature and then reconstructing filtered images from the modified curvature images. Numerical experiments demonstrate that the method is competitive with the current state-of-the-art in structure + texture image decomposition.

This talk is part of the Applied and Computational Analysis series.

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