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@ARTICLE{Du:852538,
      author       = {Du, Hongchu},
      title        = {{A} nonlinear filtering algorithm for denoising
                      {HR}({S}){TEM} micrographs},
      journal      = {Ultramicroscopy},
      volume       = {151},
      issn         = {0304-3991},
      address      = {Amsterdam},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-05458},
      pages        = {62 - 67},
      year         = {2015},
      abstract     = {Noise reduction of micrographs is often an essential task
                      in high resolution (scanning) transmission electron
                      microscopy (HR(S)TEM) either for a higher visual quality or
                      for a more accurate quantification. Since HR(S)TEM studies
                      are often aimed at resolving periodic atomistic columns and
                      their non-periodic deviation at defects, it is important to
                      develop a noise reduction algorithm that can simultaneously
                      handle both periodic and non-periodic features properly. In
                      this work, a nonlinear filtering algorithm is developed
                      based on widely used techniques of low-pass filter and
                      Wiener filter, which can efficiently reduce noise without
                      noticeable artifacts even in HR(S)TEM micrographs with
                      contrast of variation of background and defects. The
                      developed nonlinear filtering algorithm is particularly
                      suitable for quantitative electron microscopy, and is also
                      of great interest for beam sensitive samples, in situ
                      analyses, and atomic resolution EFTEM.},
      cin          = {PGI-5},
      ddc          = {570},
      cid          = {I:(DE-Juel1)PGI-5-20110106},
      pnm          = {143 - Controlling Configuration-Based Phenomena (POF3-143)},
      pid          = {G:(DE-HGF)POF3-143},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:25465498},
      UT           = {WOS:000351237800009},
      doi          = {10.1016/j.ultramic.2014.11.012},
      url          = {https://juser.fz-juelich.de/record/852538},
}