Joint Denoising of Correlation and Thresholding in Contourlet Domain and Its Application to Seismic Data

For the question that traditional methods can not perfectly denoise for the low signal to noise ratio of seismic records in complex geological conditions,we propose the joint denoising method based on correlation and thresholding in Contourlet domain.Contourlet transform(CT) is firstly applied to decompose seismic data.We do dip scanning for every scale-orientation component,suppress random noise by correlative stacking.Besides,we apply non-linear thresholding for the residual random noise to eliminate it thoroughly.Applications to both synthetic data and actual seismic data from Dabashan,South China,show that the new method eliminates the noise portion more efficiently and retains a greater amount of geologic data.