Seismic signal denoising method based on curvelet transform
Aidi Wu, Xiuling Zhao · 2010 Sixth International Conference on Natural Computation · 2010
Considering the characteristic of curvelet coefficients in difference levels, a adaptive threshold denoising method is proposed by using fast discrete curvelet transform. Using total variation minimization reduces the noise while edges are preserved. Experiment results show that the method proposed is more effective than the traditional wavelet denoising method.