Adaptive curvelet-domain primary-multiple separation |
The authors would like to thank R. Saab and O. Yilmaz for developing the Bayesian thresholding technique and C.C. Stolk for his implementation of the curvelet-domain smoothness constraint. We also would like to thank the authors of CurveLab (www.curvelet.org). The plots were prepared with Madagascar (rsf.sf.net). The matched-filter method was implemented in scientific python (www.scipy.org) with PyCurveLab (https://wave.eos.ubc.ca/Software/Licenced/). Norsk Hydro is thanked for the field dataset. This work was in part financially supported by the NSERC Discovery (22R81254) and CRD Grants DNOISE (334810-05) of F.J.H. and was carried out as part of the SINBAD project with support, secured through ITF, from BG Group, BP, Chevron, ExxonMobil and Shell.