Paper:	Filtering of Signal Dependent Noise Applied to MIPS Data
Volume:	347, Astronomical Data Analysis Software and Systems XIV
Page:	483
Authors:	Pesenson, M.; Moshir, M.; Makovoz, D.; Frayer, D.; Henderson, D.
Abstract:	Linear filtering and usual nonlinear median filtering are not effective for signal-dependent noise removal. We apply here an approximate decoupling of signal and noise by means of a nonlinear transform. The transform is followed by a linear filter and the corresponding inverse transform. This procedure allows us to mitigate the signal-dependent noise in the images obtained by the Multiband Imaging Photometer for Spitzer (MIPS), 70μm imaging band.

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