Reconstruction of seismic data based on SFISTA and curvelet transform

In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome limitations irregularly sampled data, this paper proposes a method combining smoothing fast iterative soft threshold algorithm (SFISTA) curvelet transform; uses domain as sparse domain. For comparison, contourlet transform is used for different domains, shrinkage-thresholding (FISTA) optimization algorithms. Numerical modeling real show that SFISTA in can give better effects higher accuracy than those with FISTA method; addition, be to reconstruct three-dimensional data.