Abstract
Due to the particularity of the seismic data, they must be treated by lossless compression algorithm in some cases. In the paper, based on the integer wavelet transform, the lossless compression algorithm is studied. Comparing with the traditional algorithm, it can better improve the compression rate. CDF (2, n) biorthogonal wavelet family can lead to better compression ratio than other CDF family, SWE and CRF, which is owe to its capability in canceling data redundancies and focusing data characteristics. CDF (2, n) family is suitable as the wavelet function of the lossless compression seismic data.
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Contribution No.04FE1019, Institute of Geophysics, China Earthquake Administration.
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Wang, Xz., Teng, Yt., Gao, Mt. et al. Seismic data compression based on integer wavelet transform. Acta Seismologica Sinica 17 (Suppl 1), 123–128 (2004). https://doi.org/10.1007/s11589-004-0075-4
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DOI: https://doi.org/10.1007/s11589-004-0075-4