Abstract: Seismic data are inevitably polluted by noise, which has a significant impact on subsequent applications. Currently, regularization-based methods that utilize interpretable data priors are ...

Abstract: Sparse transforms and dictionary learning (DL) play important roles in seismic data denoising. For high-dimensional data, most of these methods consider the data as a combination of 2-D data ...