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@INPROCEEDINGS{Kleefeld:838491,
author = {Kleefeld, Andreas},
title = {{M}edian filtering and its extensions for color images},
reportid = {FZJ-2017-07088},
year = {2017},
abstract = {The construction of structure-preserving denoising filters
for color images is a challenging task. A new approach is
presented that is based on a recently proposed
transformation from the RGB color space to the space of
symmetric 2x2 matrices (Burgeth, B., Kleefeld A. (2014) An
approach to color-morphology based on Einstein addition and
Loewner order, Pattern Recognition Letters, 47, 29-39.).
This new framework coupled with spatial adaptivity via
morphological amoebas offers excellent capabilities for
structure-preserving filtering of color images.
Additionally, a generalization of the median-based concept
is proposed leading to color-valued amoeba M-smoothers.
Numerical experiments confirm the applicability and the
potential of this novel approach (Kleefeld, A. et al. (2015)
Adaptive Filters for Color Images: Median Filtering and its
Extensions, Lecture Notes in Computer Science, Springer,
Berlin, 9016, 149-158.).},
month = {Oct},
date = {2017-10-19},
organization = {GAMM CSE Workshop 2017, Jülich
(Germany), 19 Oct 2017 - 20 Oct 2017},
subtyp = {After Call},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/838491},
}