Title :
CRUSH: a comparative lossless compression package
Author :
Tilton, James C. ; Seiler, Edward
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The NASA Goddard Space Flight Center has developed a lossless compression package called “CRUSH” for facilitating the comparison of several lossless compression algorithms by compression ratio and computational efficiency. The latest release of the CRUSH package contains seven variants of four algorithms that are appropriate for broad classes of data or textual files. Included are a Witten-Neal-Cleary (WNC) arithmetic coding algorithm, WNC coding paired with an adaptive dependence source model, two sliding window Lempel-Ziv variants, the Rice algorithm, and the contextual model of the lossless JPEG combined with WNC arithmetic coding. The CRUSH package can be built and run on VAX/VMS systems, and a wide range of UNIX or UNIX-like systems. The authors describe the algorithms contained in the CRUSH package, and report on study using the CRUSH package for evaluating lossless compression approaches for the Goddard Version 0 DAAC. Finally, they give comparative results for selected NASA data sets
Keywords :
astronomical techniques; astronomy; astronomy computing; data compression; geophysical signal processing; geophysical techniques; geophysics computing; image coding; remote sensing; software packages; CRUSH; Goddard Space Flight Center; JPEG; NASA; Rice algorithm; WNC coding; Witten-Neal-Cleary; adaptive dependence source model; algorithm; arithmetic coding algorithm; astronomy; comparative lossless compression package; compression ratio; computational efficiency; contextual model; geophysical measurement technique; image coding; lossless data compression; satellite remote sensing; signal processing; sliding window Lempel-Ziv variant; software package; Arithmetic; Compression algorithms; Context modeling; Data compression; Earth Observing System; Geoscience; Image coding; NASA; Packaging; Voice mail;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399112