Presented by:
Joerg Polzehl Weierstraß-Institut für Angewandte Analysis und Stochastik
Date:
Tuesday 5th December 2017 - 10:00 to 11:00
Venue:
INI Seminar Room 2
Abstract:
Images are often characterized by their homogeneity
structure,i.e., discontinuities and smoothness within
homogeneous regions, and intensity distributions that depend on the image
generating experiment. Structural adaptation employs such qualitative
assumptions on the homogeneitystructure in a sequential multi-scale procedure
that controls localbias and variance while implicitly recovering
discontinuities. I'll discuss the basic principles of the
procedure, the model dependent but data-independent selection of it's parameters by a propagation
condition and its mainproperties. Generalizations include patch based
procedures and methods for noise quantification.I'll use examples from 2D and 3D imaging, aswell as from diffusion MR (5D) and quantitative MR (multiple 3D)for illustration.
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