S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning

no code implementations • 27 Dec 2022 • Zitai Xu, YiSi Luo, Bangyu Wu, Deyu Meng

In this work, we propose a self-supervised method that combines the capacities of deep denoiser and the generalization abilities of hand-crafted regularization for seismic data random noise attenuation.

Denoising Self-Supervised Learning