On-Demand Delivery of Large Compressed Images in Astronomy: Computational Requirements

F. Murtagh, M. Louys, J. L. Starck, F. Bonnarel, M. Farid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAstronomical Data Analysis
EditorsJean-Luc Starck, Fionn D. Murtagh
PublisherSPIE
Pages151-160
Number of pages10
Volume4477
ISBN (Print)0819441910, 9780819441911
DOIs
Publication statusPublished - 1 Nov 2001
Externally publishedYes
EventInternational Symposium on Optical Science and Technology - San Diego, United States
Duration: 29 Jul 20013 Aug 2001
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/browse/SPIE-Optics-Photonics/2001

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume4477
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Optical Science and Technology
CountryUnited States
CitySan Diego
Period29/07/013/08/01
Internet address

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Cite this

Murtagh, F., Louys, M., Starck, J. L., Bonnarel, F., & Farid, M. (2001). On-Demand Delivery of Large Compressed Images in Astronomy: Computational Requirements. In J-L. Starck, & F. D. Murtagh (Eds.), Astronomical Data Analysis (Vol. 4477, pp. 151-160). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 4477). SPIE. https://doi.org/10.1117/12.447169