@incollection{derigoMultidimensionalWeightedMedian2012, title = {Multi-Dimensional Weighted Median: The Module "Wmedian" of the {{Mastrave}} Modelling Library}, booktitle = {Semantic {{Array Programming}} with {{Mastrave}} - {{Introduction}} to {{Semantic Computational Modelling}}}, author = {de Rigo, Daniele}, date = {2012}, publisher = {{Mastrave project}}, url = {http://mfkp.org/INRMM/article/14257128}, abstract = {Weighted median (WM) filtering is a well known technique for dealing with noisy images and a variety of WM-based algorithms have been proposed as effective ways for reducing uncertainties or reconstructing degraded signals by means of available information with heterogeneous reliability. Here a generalized module for applying weighted median filtering to multi-dimensional arrays of information with associated multi-dimensional arrays of corresponding weights is presented. Weights may be associated to single elements or to groups of elements along given dimensions of the multi-dimensional arrays. The filtered information derives from a reduction operator applied along a custom dimension.}, keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14257128,computational-science,free-scientific-software,free-software,gnu-octave,integration-techniques,mastrave-modelling-library,median,modelling,robust-modelling,semantic-array-programming,semantics,semap,software-engineering,uncertainty,weighting}, options = {useprefix=true} }