DocumentCode
2137315
Title
Subband coding for large-scale scientific simulation data using JPEG 2000
Author
Brislawn, Christopher M. ; Woodring, Jonathan L. ; Mniszewski, Susan M. ; DeMarle, David E. ; Ahrens, James P.
Author_Institution
Los Alamos Nat. Lab., Los Alamos, NM, USA
fYear
2012
fDate
22-24 April 2012
Firstpage
201
Lastpage
204
Abstract
The ISO/IEC JPEG 2000 image coding standard is a family of source coding algorithms targeting high-resolution image communications. JPEG 2000 features highly scalable embedded coding features that allow one to interactively zoom out to reduced resolution thumbnails of enormous data sets or to zoom in on highly localized regions of interest with very economical communications and rendering requirements. While intended for fixed-precision input data, the implementation of the irreversible version of the standard is often done internally in floating point arithmetic. Moreover, the standard is designed to support high-bit-depth data. Part 2 of the standard also provides support for three-dimensional data sets such as multicomponent or volumetric imagery. These features make JPEG 2000 an appealing candidate for highly scalable communications coding and visualization of two- and three-dimensional data produced by scientific simulation software. We present results of initial experiments applying JPEG 2000 to scientific simulation data produced by the Parallel Ocean Program (POP) global ocean circulation model, highlighting both the promise and the many challenges this approach holds for scientific visualization applications.
Keywords
data visualisation; feature extraction; floating point arithmetic; image coding; image resolution; rendering (computer graphics); solid modelling; ISO-IEC JPEG 2000 image coding standard; POP global ocean circulation model; economical communications; embedded coding features; fixed-precision input data; floating point arithmetic; high-bit-depth data; high-resolution image communications; highly scalable communications coding; irreversible version; large-scale scientific simulation data; parallel ocean program global ocean circulation model; rendering requirements; resolution thumbnails; scientific simulation software; scientific visualization applications; source coding algorithms; subband coding; three-dimensional data sets; three-dimensional data visualization; two-dimensional data visualization; Data models; Data visualization; Encoding; Image coding; Transform coding; Wavelet transforms; JPEG 2000; data compression; floating point data; high-performance computing; image coding; scientific visualization; subband coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location
Santa Fe, NM
Print_ISBN
978-1-4673-1831-0
Electronic_ISBN
978-1-4673-1829-7
Type
conf
DOI
10.1109/SSIAI.2012.6202488
Filename
6202488
Link To Document