Implicit Regularization Effects of the Sobolev Norms in Image Processing

Bowen Zhu, Jingwei Hu, Yifei Lou +1

In this paper, we propose to use the general $L^2$-based Sobolev norms, i.e., $H^s$ norms where $s\in \mathbb{R}$, to measure the data discrepancy due to noise in image processing…