Seismic data compression: a comparative study between GenLOT and wavelet compression

Laurent C. Duval; Truong Q. Nguyen

doi:10.1117/12.366837

26 October 1999 Seismic data compression: a comparative study between GenLOT and wavelet compression

Laurent C. Duval, Truong Q. Nguyen

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366837
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Generalized Lapped Orthogonal Transform based image coder is used to compress 2D seismic data sets. Its performance is compared to the results using wavelet-based image coder. Both algorithms use the same state-of-the-art zerotree coding for consistency and fair comparison. Several parameters such as filter length and objective cost function are varied to find the best suited filter banks. It is found that for raw data, filter bank with long overlapping filters should be used for processing signals along the time direction whereas filter bank with short filters should be used for processing signal along the distance direction. This combination yields the best results.

Citation Download Citation

Laurent C. Duval and Truong Q. Nguyen "Seismic data compression: a comparative study between GenLOT and wavelet compression", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366837

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