The potential of self-supervised networks for random noise suppression in seismic data

no code implementations • 15 Sep 2021 • Claire Birnie, Matteo Ravasi, Tariq Alkhalifah, Sixiu Liu

Illustrated on synthetic examples, the blind-spot network is shown to be an efficient denoiser of seismic data contaminated by random noise with minimal damage to the signal; therefore, providing improvements in both the image domain and down-the-line tasks, such as inversion.

Denoising Self-Supervised Learning