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@INPROCEEDINGS{Kleefeld:824589,
      author       = {Kleefeld, Andreas},
      title        = {{A}daptive {F}ilters for {C}olor {I}mages: {M}edian
                      {F}iltering and its {E}xtensions},
      reportid     = {FZJ-2016-07156},
      year         = {2016},
      abstract     = {In this talk, the construction of structure-preserving
                      denoising filters for color images is explained. This is
                      based on a recently proposed transformation from the RGB
                      color space to the space of symmetric $2\times2$ matrices
                      that has already been used to transfer morphological
                      operations such as dilation and erosion from matrix-valued
                      data to color images (see [1]).The applicability of this
                      framework is shown for the construction ofcolor-valued
                      median filters. Additionally, spatial adaptivity is
                      introducedinto this approach by morphological amoebas that
                      offer excellent capabilities for structure-preserving
                      filtering. Furthermore, color-valued amoeba M-smoothers as a
                      generalization of the median-basedconcepts are defined. The
                      experiments confirm that all these methods work wellwith
                      color images. They demonstrate the potential of the new
                      approach todefine color processing tools based on matrix
                      field techniques (refer to [2]).[1] Burgeth, B., Kleefeld A.
                      (2014) An approach to color-morphology based on Einstein
                      addition and Loewner order, Pattern Recognition Letters, 47,
                      29-39.[2] 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         = {Dec},
      date          = {2016-12-05},
      organization  = {IAS Symposium 2016, Jülich (Germany),
                       5 Dec 2016 - 6 Dec 2016},
      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/824589},
}