We have shown the method to be successful in interpolating real data and synthetic data with a real acquisition geometry created with a complicated wavespeed model. In addition, we have shown this method to be effective at isolating dips differing from the laterally coherent scattering and source related energy even in the presence of severe under sampling. We have demonstrated that our method is more effective than f-k filtering because it has superior dip resolution, allows the separation of dips as a function of time, and can handle (and interpolate) irregular wavefield sampling. Besides the algorithm development, the most important aspect of this study has been the recognition of the effect of current standard teleseismic wavefield acquisition geometries on dip filtering as well as standard seismic imaging methods. We hope that the examples shown in this paper will motivate denser deployments in the future to allow proper pre-processing and insure more accurate images than are presently possible.