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Proceedings Paper

On-demand delivery of large compressed images in astronomy: computational requirements
Author(s): Fionn D. Murtagh; Mireille Louys; Jean-Luc Starck; Francois Bonnarel; Mohsen M. Farid
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Paper Abstract

Performance results using wavelet and other multiresolution transforms are described. The roles of information content, resolution scale, and image capture noise, are discussed. Delivery systems for a range of large image repositories from areas which include medical, astronomy and graphic arts are described, as standalone systems for use on portable platforms, and client-server systems for use on the web.

Paper Details

Date Published: 1 November 2001
PDF: 10 pages
Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); doi: 10.1117/12.447169
Show Author Affiliations
Fionn D. Murtagh, Queen's Univ. of Belfast and Observatoire Astronomique de Strasbourg (United Kingdom)
Mireille Louys, Observatoire Astronomique de Strasbourg and Univ. Louis Pasteur (France)
Jean-Luc Starck, CEA Saclay (France)
Francois Bonnarel, Observatoire Astronomique de Strasbourg (France)
Mohsen M. Farid, Queen's Univ. of Belfast and Dundalk Institute of Technology (United Kingdom)


Published in SPIE Proceedings Vol. 4477:
Astronomical Data Analysis
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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