Sparsity or whiteness : what criterion to use for blind deconvolution of seismic data?

Anthony Larue (1) , Mirko van Der Baan , Jerome I. Mars (1) , Christian Jutten (1)

1 LIS - Laboratoire des images et des signaux

In this paper, we purpose to compare the relevance of sparsity or whiteness assumptions in blind deconvolution problem of seismic data. The MED algorithm of Wiggins based on kurtosis maximization of the kurtosis is re-interpreted as a sparsity based algorithm. Numerical simulations and a large discussion compare the MED algorithm with a blind frequency deconvolution algorithm based on mutual information rate.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Anthony Larue, Mirko van Der Baan, Jerome I. Mars, Christian Jutten. Sparsity or whiteness : what criterion to use for blind deconvolution of seismic data?. -, 2005, France. ⟨hal-00097184⟩