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SUMMARY:Color Bregman TV - Michael Möller (ARRI\, Munich)
DTSTART:20131125T160000Z
DTEND:20131125T170000Z
UID:TALK48886@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:This talk deals with a novel iterative procedure for multichan
 nel image and signal reconstruction using Bregman distances. With the moti
 vation that multiple channels sharing a common subgradient with respect to
  a suitable regularization implies desirable properties such as a common e
 dge set (and a common direction of the normals to the level lines) in the 
 case of the total variation (TV)\, we propose to determine each iterate by
  regularizing each channel with a weighted linear combination of Bregman d
 istances to all other image channels from the previous iteration. In this 
 sense we generalize the Bregman iteration proposed by Osher et al. in 2005
  to multichannel images.
LOCATION:MR5\, Centre for Mathematical Sciences
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