Published Paper

Inserted: 10 apr 2024
Last Updated: 10 apr 2024

Journal: SIAM Journal on Mathematical Analysis
Year: 2021
Doi: 10.1137/20M1346584

Abstract:

We present some results of geometric convergence of level sets for solutions of total variation denoising as the regularization parameter tends to zero. The common feature among them is that they make use of explicit constructions of variational mean curvatures for general sets of finite perimeter. Consequently, no additional regularity of the level sets of the ideal data is assumed, and in particular the subgradient of the total variation at it could be empty. In exchange, other restrictions on the data or on the noise are required. We consider two cases: characteristic functions with a parameter choice depending on the noise level, and noiseless generic data.