BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Variational Models for Image Restoration with Applications in Defo
 rmable Registration - Ke Chen (University of Liverpool)
DTSTART:20121129T150000Z
DTEND:20121129T160000Z
UID:TALK39424@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:Variational models offer high resolution solutions of many com
 mon image processing tasks by treating images as functions rather than mat
 rices.\nIn this talk\, I first discuss the simple models based on mean cur
 vature by Lysaker-Osher-Tai (2004) and Zhu-Chan (2008\,2012) as well as to
 tal variation (TV) regularisation by Rudin-Osher-Fatemi (1992). Recent res
 ults on choosing the best coupling parameter in a TV model and on fast alg
 orithms for curvature models are also shown.\n\nThen I discuss the modelin
 g problem of image registration which is another important task in image p
 rocessing\, where regularization is a major issue in designing new models.
   The prevously well-known regularisers such as the TV and optical flow ba
 sed ones turn out to be much less effective than a mean curvature regulari
 ser.   Finally I show how to use the mean curvature to design a registrati
 on model suitable for multi-modality registration.
LOCATION:MR 14\, CMS
END:VEVENT
END:VCALENDAR