Curvelet-regularized deconvolution

TitleCurvelet-regularized deconvolution
Publication TypeConference
Year of Publication2008
AuthorsVishal Kumar
Conference NameSINBAD 2008
KeywordsPresentation, SINBAD, SLIM

The removal of source signature from seismic data is an important step in seismic data processing. The Curvelet transform provides sparse representations for images that comprise smooth objects separated by piece-wise smooth discontinuities (e.g. seismic reflectivity). In this approach the sparseness of reflectivity in Curvelet domain is used as a prior to stabilize the inversion process. Our Curvelet-regularized deconvolution algorithm uses recently developed SPGL1 solver which does adaptive sampling of the trade-off curve. We applied the algorithm on a synthetic example and compared our results with that of Spiky deconvolution approach.

Citation Keykumar2008SINBADcrd