JHelioviewer - Visualizing large sets of solar images using JPEG 2000
Abstract
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.
Keywords
Cite
@article{arxiv.0906.1582,
title = {JHelioviewer - Visualizing large sets of solar images using JPEG 2000},
author = {Daniel Mueller and George Dimitoglou and Benjamin Caplins and Juan Pablo Garcia Ortiz and Benjamin Wamsler and Keith Hughitt and Alen Alexanderian and Jack Ireland and Desmond Amadigwe and Bernhard Fleck},
journal= {arXiv preprint arXiv:0906.1582},
year = {2009}
}
Comments
19 pages, 7 figures, accepted for publication in Computing in Science and Engineering