Published 2005
| Published
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Filtering of Signal Dependent Noise Applied to MIPS Data
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.
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.Attached Files
Published - Pesenson2005p9484Astronomical_Data_Analysis_Software_And_Systems_Xiv_Proceedings.pdf
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Additional details
- Eprint ID
- 24789
- Resolver ID
- CaltechAUTHORS:20110810-142216407
- 1407
- NASA
- Created
-
2011-09-15Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Series Name
- ASP Conference Series
- Series Volume or Issue Number
- 347