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JHelioviewer - Visualizing large sets of solar images using JPEG 2000 View all abstracts by submitter

Daniel Mueller   Submitted: 2009-06-08 13:43

Across all disciplines that work with image data - from astrophysics to medical research and historic preservation - there is a growing need for efficient ways to browse and inspect large sets of high-resolution images. We present the development of a visualization software for solar physics data based on the JPEG 2000 image compression standard. Our implementation consists of the JHelioviewer client application that enables users to browse petabyte-scale image archives and the JHelioviewer server, which integrates a JPIP server, metadata catalog and an event server. JPEG 2000 offers many useful new features and has the potential to revolutionize the way high-resolution image data are disseminated and analyzed. This is especially relevant for solar physics, a research field in which upcoming space missions will provide more than a terabyte of image data per day. Providing efficient access to such large data volumes at both high spatial and high time resolution is of paramount importance to support scientific discovery.

Authors: Daniel Mueller, George Dimitoglou, Benjamin Caplins, Juan Pablo Garcia Ortiz, Benjamin Wamsler, Keith Hughitt, Alen Alexanderian, Jack Ireland, Desmond Amadigwe, Bernhard Fleck

Publication Status: accepted for publication in Computing in Science & Engineering
Last Modified: 2009-06-09 02:30
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