Open AccessVariable quality compression of fluid dynamical data sets using a 3‐D DCT technique
Author(s) -
Loddoch Alexander,
Schmalzl Jörg
Publication year - 2006
Publication title -
geochemistry, geophysics, geosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.928
H-Index - 136
ISSN - 1525-2027
DOI - 10.1029/2005gc001017
Subject(s) - compression (physics) , data compression , data compression ratio , discrete cosine transform , compression ratio , image compression , algorithm , computer science , jpeg , range (aeronautics) , computational fluid dynamics , mathematics , artificial intelligence , image (mathematics) , image processing , materials science , physics , internal combustion engine , mechanics , composite material , automotive engineering , engineering
In this paper we present a data compression scheme that is especially suited for the compression of data sets resulting from computational fluid dynamics (CFD). By adopting the concept of the JPEG image compression standard and extending the approach of Schmalzl (2003), we employ a three‐dimensional discrete cosine transform of the data. The resulting frequency components are rearranged, quantized, and, finally, stored using standard variable length integer codes. The compression ratio and also the introduced loss of accuracy can be adjusted over a wide range by means of two compression parameters to give the desired compression profile. Using the proposed technique, compression ratios of more than 60:1 are possible with a mean error of the compressed data of less than 0.05%.