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Is rtkspectraldenoiseprojections useful ? #915

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@cyrilmory

The rtkspectraldenoiseprojections does something very simple : it "Replaces aberrant pixels by the median in a small neighborhood around them. Pixels are aberrant if the difference between their value and the median is larger that threshold multiplier times the standard deviation in the neighborhood"
It was implemented because simplex decomposition of spectral projections sometimes generates aberrant pixels in the material-decomposed projections, either because of noise in the data or because the simplex solver gets stuck in a local minimum. But the method rtkspectraldenoiseprojections implements might be too crude to actually be useful.

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