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Polzehl et al 2007, Adaptive Smoothing of Digital Images.pdf14,48 MBAdobe PDFView/Open
Title: Adaptive smoothing of digital images: The R package adimpro
Authors: Polzehl, J.Tabelow, K.
Publishers Version: https://doi.org/10.18637/jss.v019.i01
Issue Date: 2007
Published in: Journal of Statistical Software Vol. 19 (2007), No. 1
Publisher: Los Angeles, Calif. : UCLA, Dept. of Statistics
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 propagationseparation approach by (Polzehl arid Spokoiriy 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.
Keywords: Adaptive weights; Image processing; Local structure; Propagation; Separation; Smoothing
DDC: 510
License: CC BY 3.0 Unported
Link to License: https://creativecommons.org/licenses/by/3.0/
Appears in Collections:Mathematik



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