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SUMMARY:Recent results on Bayesian image recovery - Prof Aggelos K. Katsag
 gelos\, Northwestern University
DTSTART:20091118T110000Z
DTEND:20091118T120000Z
UID:TALK21572@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:There is a plethora of image and video processing applications
  in which information is lost due to acquisition\, processing\, or transmi
 ssion.  These applications include astronomical imaging\, commercial and e
 ntertainment photography\, medical imaging\, and molecular and cellular bi
 o-imaging. A recovery problem is then required to be solved\, according to
  which an estimate of the original scene is obtained based on the observed
  data and prior knowledge about the original image and the degradation pro
 cess.  Examples of such problems include image and video restoration\, sup
 er-resolution\, the removal of compression and transmission artifacts\, co
 mpressive sensing and light field estimation in computational photography.
  We describe in detail some of our recent results and outstanding challeng
 es in image recovery utilizing a Bayesian framework.  Experimental results
  are presented to illustrate and compare the effectiveness of various appr
 oaches.
LOCATION:LR3A\, Engineering\, Department of
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