2012
Brislawn, Christopher M.; Woodring, Jonathan; Mniszewski, Susan; DeMarle, David; Ahrens, James
Subband coding for large-scale scientific simulation data using JPEG 2000 Proceedings Article
In: Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on, pp. 201–204, IEEE 2012, (LA-UR-12-1352).
Abstract | Links | BibTeX | Tags: JPEG 2000, scientific simulation data, subband coding
@inproceedings{brislawn2012subband,
title = {Subband coding for large-scale scientific simulation data using JPEG 2000},
author = {Christopher M. Brislawn and Jonathan Woodring and Susan Mniszewski and David DeMarle and James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/SubbandCodingForLarge-ScaleScientificSimulationDataUsingJPEG2000.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on},
pages = {201--204},
organization = {IEEE},
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.},
note = {LA-UR-12-1352},
keywords = {JPEG 2000, scientific simulation data, subband coding},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
: . .
1.
Brislawn, Christopher M.; Woodring, Jonathan; Mniszewski, Susan; DeMarle, David; Ahrens, James
Subband coding for large-scale scientific simulation data using JPEG 2000 Proceedings Article
In: Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on, pp. 201–204, IEEE 2012, (LA-UR-12-1352).
@inproceedings{brislawn2012subband,
title = {Subband coding for large-scale scientific simulation data using JPEG 2000},
author = {Christopher M. Brislawn and Jonathan Woodring and Susan Mniszewski and David DeMarle and James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/SubbandCodingForLarge-ScaleScientificSimulationDataUsingJPEG2000.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on},
pages = {201--204},
organization = {IEEE},
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.},
note = {LA-UR-12-1352},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.