Adaptive smoothing of digital images: The R package adimpro
Authors
- Polzehl, Jörg
ORCID: 0000-0001-7471-2658 - Tabelow, Karsten
ORCID: 0000-0003-1274-9951
2010 Mathematics Subject Classification
- 62G05
Keywords
- adaptive weights, local structure, propagation, separation, image processing, denoising
DOI
Abstract
Digital imaging has become omnipresent in the past years with a bulk of applications ranging from medical imaging to photography. When pushing the limits of resolution and sensitivity noise has ever been a major issue. However, commonly used non-adaptive filters can do noise reduction at the cost of a reduced effective spatial resolution only. Here we present a new package adimpro for R, which implements the Propagation-Separation approach by Polzehl and Spokoiny (2006) for smoothing digital images. This method naturally adapts to different structures of different size in the image and thus avoids oversmoothing edges and fine structures. We extend the method for imaging data with spatial correlation. Furthermore we show how the estimation of the dependence between variance and mean value can be included. We illustrate the use of the package through some examples.
Appeared in
- J. Statist. Software, 19 (2007) pp. 1--17.
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