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Distributed Visual Information Management in Astronomy
November/December 2002 (vol. 4 no. 6)
pp. 14-23
Fionn Murtagh, Queen?s University, Belfast
Mireille Louys, ?cole Nationale Sup?rieure de Physique de Strasbourg

Among the many interesting computational problems that observational astronomy poses, broad aspects of visual information management are crucial. In this regard, observational astronomy "collaboratories" provide important testbeds for other fields serving less well?defined communities-telemedicine, Earth observation, and graphic art and design come to mind. The authors review issues related to large-image visualization in astronomy and a recently developed toolset for this purpose. Resolution scale is central, offering one way to address the long?term data storage problem, and the authors review recent developments in this area. Also, to support image database querying, they define multiple-resolution information and entropy. They show how these are closely related to the compression rate and discuss using these concepts in image database querying.

Index Terms:
wavelet transform, multiple resolution, multiscale method, noise model, entropy, information, image database, signal processing, visualization
Citation:
Fionn Murtagh, Jean-Luc Starck, Mireille Louys, "Distributed Visual Information Management in Astronomy," Computing in Science and Engineering, vol. 4, no. 6, pp. 14-23, Nov.-Dec. 2002, doi:10.1109/MCISE.2002.1046592
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