On-demand delivery of large compressed images in astronomy: computational requirements

Fionn D. Murtagh; Mireille Louys; Jean-Luc Starck; Francois Bonnarel; Mohsen M. Farid

doi:10.1117/12.447169

1 November 2001 On-demand delivery of large compressed images in astronomy: computational requirements

Fionn D. Murtagh, Mireille Louys, Jean-Luc Starck, Francois Bonnarel, Mohsen M. Farid

Author Affiliations +

Proceedings Volume 4477, Astronomical Data Analysis; (2001) https://doi.org/10.1117/12.447169
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

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Fionn D. Murtagh, Mireille Louys, Jean-Luc Starck, Francois Bonnarel, and Mohsen M. Farid "On-demand delivery of large compressed images in astronomy: computational requirements", Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); https://doi.org/10.1117/12.447169

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