Patch-Wise Adaptive Weights Smoothing in R

• Main Authors: Jörg Polzehl, Kostas Papafitsoros, Karsten Tabelow
• Format: Article
• Language: English
• Published: Foundation for Open Access Statistics 2020-10-01
• Series: Journal of Statistical Software
• Subjects: image denoising; patch-wise structural adaptive smoothing; total variation; non-local means; r
• Online Access: https://www.jstatsoft.org/index.php/jss/article/view/3521

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 patchwise 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.