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SUMMARY:Efficient numerical Methods For Variational inpainting models - Su
 ng Ha Kang (Georgia Institute of Technology)
DTSTART:20170906T110000Z
DTEND:20170906T115000Z
UID:TALK78091@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Co-authors: Maryam Yashtini		(Georgia Institute of Techn
 ology)\, Wei Zhu		(The University of Alabama)        <br></span><span><br>
 Recent developments of fast algorithms\, based on operator splitting\, aug
 mented Lagrangian\, and alternating minimization\, enabled us to revisit s
 ome of the variational image inpainting models.  In this talk\, we will pr
 esent some fast algorithms for Euler&#39\;s Elastica image inpainting mode
 l\, and variational edge-weighted image colorization model based on chroma
 ticity and brightness models. Main ideas of the models and algorithms\, so
 me analysis and numerical results will be presented.&nbsp\;</span>
LOCATION:Seminar Room 1\, Newton Institute
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