% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @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}, }