Seismic data compression based on integer wavelet transform |
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| Authors: | Wang Xi-zhen Teng Yun-tian Gao Meng-tan and Jiang Hui |
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| Institution: | (1) Institute of Geophysics, China Earthquake Administration, 100081 Beijing, China |
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| 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.
Contribution No.04FE1019, Institute of Geophysics, China Earthquake Administration. |
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| Keywords: | lossless compression integer wavelet transform lifting scheme biorthogonal wavelet |
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