Share Email Print
cover

Proceedings Paper

Coherent noise removal in seismic data with dual-tree M-band wavelets
Author(s): Laurent Duval; Caroline Chaux; Stéphan Ker
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Seismic data and their complexity still challenge signal processing algorithms in several applications. The advent of wavelet transforms has allowed improvements in tackling denoising problems. We propose here coherent noise filtering in seismic data with the dual-tree M-band wavelet transform. They offer the possibility to decompose data locally with improved multiscale directions and frequency bands. Denoising is performed in a deterministic fashion in the directional subbands, depending of the coherent noise properties. Preliminary results show that they consistently better preserve seismic signal of interest embedded in highly energetic directional noises than discrete critically sampled and redundant separable wavelet transforms.

Paper Details

Date Published: 20 September 2007
PDF: 11 pages
Proc. SPIE 6701, Wavelets XII, 67011W (20 September 2007); doi: 10.1117/12.735533
Show Author Affiliations
Laurent Duval, Institut Français du Pétrole (France)
Caroline Chaux, INRIA, CNRS, UNSA (France)
Stéphan Ker, IFREMER (France)


Published in SPIE Proceedings Vol. 6701:
Wavelets XII
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

© SPIE. Terms of Use
Back to Top