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Proceedings Paper

Multiresolution filtering and segmentation of multispectral images
Author(s): Fionn D. Murtagh; Christophe Collet; Mireille Louys; Jean-Luc Starck
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Paper Abstract

We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Loeve transform. For segmentation, we use a quadtree followed by the fitting of a Markov model. We illustrate these methods on Hubble Space Telescope near infrared NICMOS camera images.

Paper Details

Date Published: 19 December 2002
PDF: 8 pages
Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); doi: 10.1117/12.461125
Show Author Affiliations
Fionn D. Murtagh, Queen's Univ. Belfast (United Kingdom)
Christophe Collet, Univ. Strasbourg I (France)
Mireille Louys, Univ. Strasbourg I (France)
Jean-Luc Starck, CEA Saclay (France)

Published in SPIE Proceedings Vol. 4847:
Astronomical Data Analysis II
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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