Statistics – Applications
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4847..444p&link_type=abstract
Astronomical Data Analysis II. Edited by Starck, Jean-Luc; Murtagh, Fionn D. Proceedings of the SPIE, Volume 4847, pp. 444-4
Statistics
Applications
1
Scientific paper
The previously proposed tiled-image compression scheme is now fully supported when reading and writing FITS images using the CFITSIO subroutine library. This scheme generally produces image compression factors that are superior to the standard gzip or unix compress algorithms, especially when compressing floating point data type images. In addition to reducing the required amount of disk space to store the image, this compression technique often makes applications programs run faster because of the reduced amount of magnetic disk I/O that is required to read or write the image.
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