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SUMMARY:On curvature-guided image filtering and its applications to struct
 ure+texture image decomposition - Alexander Belyaev (Heriot-Watt Universit
 y)
DTSTART:20151112T150000Z
DTEND:20151112T160000Z
UID:TALK60679@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:A structure + texture image decomposition is very useful for a
  number of image processing tasks\, as different strategies are supposed t
 o be applied to the structure and texture image components. In this talk\,
  I will describe a new curvature-guided image filtering method and show ho
 w it can be used to achieve a high quality structure + texture image decom
 position. The main idea behind the method consists of applying simple line
 ar filtering schemes to the image level-set curvature and then reconstruct
 ing filtered images from the modified curvature images. Numerical experime
 nts demonstrate that the method is competitive with the current state-of-t
 he-art in structure + texture image decomposition.
LOCATION:MR 14\, CMS
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