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SUMMARY:A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-B
 and Emphasis - Yingsong Zhang\, CUED
DTSTART:20080812T134500Z
DTEND:20080812T141500Z
UID:TALK13100@talks.cam.ac.uk
CONTACT:Taylan Cemgil
DESCRIPTION:We proposes a new algorithm for wavelet-based multidimensional
  image deconvolution which employs subband-dependent minimization and the 
 dual-tree complex wavelet transform in an iterative Bayesian framework.\n\
 nIn addition\, this algorithm employs a new prior instead of the popular $
 \\ell_1$ norm\, and is thus able to embed a learning scheme during the ite
 ration which helps it to achieve better deconvolution results and faster c
 onvergence.\n\n
LOCATION:LR5\, Engineering\, Department of
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