Coherent noise removal in seismic data with redundant multiscale directional filters
Sergi Ventosa, Herald Rabeson, Laurent C. Duval · 2011
Directional filters are a commonly used tool in modern seismic data processing to process coherent signals depending on their apparent slowness or slope. This operation enhances the characterization of the great variety of signals present in a seismic dataset that enables a better characterization of the subsurface structure. This paper compares two complementary local adaptive multiscale directional filters: a directional filter bank based on dual-tree M-band wavelets and a novel local slant stack transform (LSST) based filter in the timescale domain. Their differences resides in redundancy levels and slope (directional) resolution. To provide an objective measurement of their quality, the structural similarity index measure has been employed to compare the results obtained with both approaches on a real seismic dataset example. 1.