Filtering of Signal Dependent Noise Applied to MIPS Data

Details Filtering of Signal Dependent Noise Applied to MIPS Data Filtering of Signal Dependent Noise Applied to MIPS Data

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aspc..347..483p&link_type=abstract

Astronomical Data Analysis Software and Systems XIV ASP Conference Series, Vol. 347, Proceedings of the Conference held 24-27 Oc

Astronomy and Astrophysics

Astronomy

Scientific paper

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), 70 micron
imaging band.

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