Lossless compression of 3D seismic data using a horizon displacement compensated 3D lifting scheme

Anis Meftah; Marc Antonini; Chokri Ben Amar

doi:10.1117/12.840186

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4 February 2010 Lossless compression of 3D seismic data using a horizon displacement compensated 3D lifting scheme

Anis Meftah, Marc Antonini, Chokri Ben Amar

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Proceedings Volume 7535, Wavelet Applications in Industrial Processing VII; 753503 (2010) https://doi.org/10.1117/12.840186
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

In this paper we present a method to optimize the computation of the wavelet transform for the 3D seismic data while reducing the energy of coefficients to the minimum. This allow us to reduce the entropy of the signal and so increase the compression ratios. The proposed method exploits the geometrical information contained in the seismic 3D data to optimize the computation of the wavelet transform. Indeed, the classic filtering is replaced by a filtering following the horizons contained in the 3D seismic images. Applying this approach in two dimensions permits us to obtain wavelets coefficients with lowest energy. The experiments show that our method permits to save extra 8% of the size of the object compared to the classic wavelet transform.

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Anis Meftah, Marc Antonini, and Chokri Ben Amar "Lossless compression of 3D seismic data using a horizon displacement compensated 3D lifting scheme", Proc. SPIE 7535, Wavelet Applications in Industrial Processing VII, 753503 (4 February 2010); https://doi.org/10.1117/12.840186

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