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SUMMARY:Non-Smooth-Norm Image Reconstruction from Noisy Data - Dr Paolo Em
 ilio Barbano (DAMTP\, University of Cambridge)
DTSTART:20101126T110000Z
DTEND:20101126T120000Z
UID:TALK28184@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:The Talk presents a new approach to the problem of reconstruct
 ing Images from noisy data by means of Analytic Inversion Formlae. \nIn pa
 rticular\, we focus reconstruction of PET/SPECT images from Real Radon Dat
 a. We will also outline rigorous mathematical formalism for the understand
 ing of some basic mechanisms which allow the use of deterministic Inversio
 n Algorithms to REAL data\,\ni.e. data corrupted sampling deficiencies\, c
 ombined with Gaussian and Non-Gaussian noise. Some of these results can be
  used as the basis for a more efficient paradigm of Transform Inversion fr
 om noisy\, even critically under-sampled data.\n
LOCATION:Engineering Department\, CBL Room 438
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