Paper
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
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 1 scholarly publication.
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KEYWORDS
Image compression

Astronomy

Wavelets

Image resolution

Transform theory

Interference (communication)

Observatories

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