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Proceedings Paper

Lossless compression of 3D seismic data using a horizon displacement compensated 3D lifting scheme
Author(s): Anis Meftah; Marc Antonini; Chokri Ben Amar
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Paper 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.

Paper Details

Date Published: 4 February 2010
PDF: 8 pages
Proc. SPIE 7535, Wavelet Applications in Industrial Processing VII, 753503 (4 February 2010); doi: 10.1117/12.840186
Show Author Affiliations
Anis Meftah, I3S Lab., CNRS, Univ. of Nice-Sophia Antipolis (France)
Marc Antonini, I3S Lab., CNRS, Univ. of Nice-Sophia Antipolis (France)
Chokri Ben Amar, National Engineering School of Sfax (Tunisia)


Published in SPIE Proceedings Vol. 7535:
Wavelet Applications in Industrial Processing VII
Frédéric Truchetet; Olivier Laligant, Editor(s)

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