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Filtering of Signal Dependent Noise Applied to MIPS Data

Pesenson, M. and Moshir, M. and Makovoz, D. and Frayer, D. and Henderson, D. (2005) Filtering of Signal Dependent Noise Applied to MIPS Data. In: Astronomical Data Analysis Software and Systems XIV. ASP Conference Series. No.347. Astronomical Society of the Pacific , San Francisco, CA, pp. 483-486. ISBN 1-58381-215-6 http://resolver.caltech.edu/CaltechAUTHORS:20110810-142216407

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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.


Item Type:Book Section
Related URLs:
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http://aspbooks.org/a/volumes/article_details/?paper_id=2955PublisherUNSPECIFIED
Additional Information:© 2005 Astronomical Society of the Pacific. This work was carried out at the Spitzer Science Center, with funding from NASA under contract 1407 to the California Institute of Technology and the Jet Propulsion Laboratory.
Funders:
Funding AgencyGrant Number
NASA1407
Record Number:CaltechAUTHORS:20110810-142216407
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20110810-142216407
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24789
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Sep 2011 20:32
Last Modified:07 Nov 2013 19:14

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