Coherent and random noise attenuation using the à trous wavelet decomposition
Ahmed Zegadi, Khalil Kheir‐eddine Zegadi · 2010
In this paper we present a new coherent and random noise attenuation method in the (t-x) domain, based on the à trous wavelet decomposition (ATWD). The filtered signal in the spatial direction is obtained as the noiseless scales reconstruction of the decomposition. The à trous wavelet filter is effective for data where coherent events can be aligned laterally as NMO (normal move out) corrected CMP (common-midpoint) gathers. This processing is successfully applied on the synthetic and real seismic data.