BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Advanced Image Reconstruction and Denoising- Bregmanized (Higher O
 rder) Total Variation and Application in PET - Jahn Müller (Universität 
 Münster)
DTSTART:20130821T140000Z
DTEND:20130821T143000Z
UID:TALK46824@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:(Higher order) total variation regularization methods are exam
 ined in the context of image reconstruction and denoising. With the stairc
 asing effect and the loss of contrast\, two well known drawbacks of the to
 tal variation (TV) as regularizer are addressed and thus higher order exte
 nsions to prevent the former one\, namely infimal convolution total variat
 ion (ICTV) and generalized total variation (GTV)\, are discussed.\nThe pre
 sented methods are finally applied to image reconstruction in positron emi
 ssion tomography (PET). In particular in cases where standard reconstructi
 on algorithms (as e.g. EM) only produce noisy images\, extensions with TV 
 and GTV regularization\,\nfurther improved by Bregman iterations\, produce
  superior results.
LOCATION:MR11\, Centre for Mathematical Sciences
END:VEVENT
END:VCALENDAR