Investigating Self-Supervised Image Denoising with Denaturation

no code implementations • 2 May 2024 • Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada

To provide better understanding of the approach, in this paper, we analyze a self-supervised denoising algorithm that uses denatured data in depth through theoretical analysis and numerical experiments.

Image Denoising Self-Supervised Learning