Wavelets Applied to Lossless Compression and ... - CiteSeerX
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Wavelets Applied to Lossless Compression and ... - CiteSeerX
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Wavelets Applied to Lossless Compression and Progressive Transmission of Floating Point Data in 3-D Curvilinear Grids Aaron Trott, Robert Moorhead, John McGinley NSF Engineering Research Center for CFS Mississippi State University
Abstract A method of lossless compression using wavelets is presented that enables progressive transmission of Computational Fluid Dynamics (CFD) data in PLOT3D format. The oating point data is rst converted to double-precision oating 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 Human coding and transmitted progressively using spectral selection. This allows most of the information to be transmitted in the rst pass. Details are transmitted in later passes which ultimately provide for lossless reconstruction of the original data.
(zone n) i_dim j_dim k_dim
Many times in Computational Fluid Dynamics (CFD) work very large datasets are produced on remote machines. This vast amount of data must often be moved to a local machine for post processing and visualization. However, this can take large amounts of time because of the large quantity of data that must be transmitted. Compressing the data can speed up the transmission and save several hours of the researchers' time. Progressive transmission can further increase eciency of the visualization process by giving researchers an approximation of the data very quickly. They can then make a decision based on this approximation about whether to continue the transmission or, if the data is determined to be undesirable, to abort it.
1.2 Haar Wavelets
This application currently uses Haar Wavelets. These are very simple functions with the scaling and detail lters de ned in Eq. (1) and Eq. (2) respectively.