"What is ... sparse and redundant representation modeling for image
processing?"  -- Wang-Q Lim (TU)

1:00 pm, Friday, January 9, 2015
@BMS Loft in Urania
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ABSTRACT:
Recently, sparse and redundant representation modeling has received
extensive attention and shown to be quite effective in signal and image
processing. This framework allows for the successful reconstruction of the
true image from severely corrupted or undersampled data.

In this talk, we will introduce an image reconstruction scheme based on
this framework and show the effectiveness of such a scheme in various
applications.