WIAS Preprint No. 2520, (2018)

Patch-wise adaptive weights smoothing



Authors

  • Polzehl, Jörg
    ORCID: 0000-0001-7471-2658
  • Papafitsoros, Kostas
    ORCID: 0000-0001-9691-4576
  • Tabelow, Karsten
    ORCID: 0000-0003-1274-9951

2010 Mathematics Subject Classification

  • 62G05 62G99 62P10

Keywords

  • Image denoising, patch wise structural adaptive smoothing, total variation, non-local means

DOI

10.20347/WIAS.PREPRINT.2520

Abstract

Image reconstruction from noisy data has a long history of methodological development and is based on a variety of ideas. In this paper we introduce a new method called patch-wise adaptive smoothing, that extends the Propagation-Separation approach by using comparisons of local patches of image intensities to define local adaptive weighting schemes for an improved balance of reduced variability and bias in the reconstruction result. We present the implementation of the new method in an R package aws and demonstrate its properties on a number of examples in comparison with other state-of-the art image reconstruction methods.

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