DocumentCode :
1951213
Title :
Wavelets applied to lossless compression and progressive transmission of floating point data in 3-D curvilinear grids
Author :
Trott, Aaron ; Moorhead, Robert ; McGinley, John
Author_Institution :
NSF Eng. Res. Center for CFS, Mississippi State Univ., MS, USA
fYear :
1996
fDate :
Oct. 27 1996-Nov. 1 1996
Firstpage :
385
Lastpage :
388
Abstract :
A method of lossless compression using wavelets is presented that enables progressive transmission of computational fluid dynamics (CFD) data in PLOT3D format. The floating point data is first converted to double-precision floating point format to maintain adequate precision throughout the transform process. It is then transformed using Haar wavelets-four times in two spatial dimensions, twice in the third spatial dimension, and twice in time for a total compression factor of 64 times. The double precision format will maintain enough precision during the transform to keep the process lossless. Next, the transformed data is compressed using Huffman coding and transmitted progressively using spectral selection. This allows most of the information to be transmitted in the first pass. Details are transmitted in later passes which ultimately provide for lossless reconstruction of the original data.
Keywords :
wavelet transforms; 3D curvilinear grids; Haar wavelets; Huffman coding; PLOT3D format; computational fluid dynamics data; double precision format; double-precision floating point format; floating point data; lossless compression; lossless data reconstruction; progressive transmission; spectral selection; transformed data compression; wavelets; Computational fluid dynamics; Data engineering; Data visualization; Filters; Huffman coding; Legged locomotion; Maintenance engineering; Propagation losses; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization '96. Proceedings.
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-89791-864-9
Type :
conf
DOI :
10.1109/VISUAL.1996.568138
Filename :
568138
Link To Document :
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