A denoising method based on combined Curvelet and Wavelet transform

Summary This paper is based on curvelet transform and wavelet transform. We propose a denoising method based on curvelet and wavelet transform to solve the problem that when we use curvelet transform there remains background noise and generate false signal. To the noised seismogram, select appropriate threshold, denoise the data followed by the use of curvelet transform and wavelet transform. The result shows that curvelet-wavelet transform can retain the valid signal while remove the background noise and false signal, and get a high SNR seismic data.