Published Paper

Inserted: 29 jun 2024
Last Updated: 29 jun 2024

Journal: Journal of Mathematical Imaging and Vision
Year: 2021

Abstract:

We introduce an algorithm to solve linear inverse problems regularized with the total (gradient) variation in a gridless manner. Contrary to most existing methods, that produce an approximate solution which is piecewise constant on a fixed mesh, our approach exploits the structure of the solutions and consists in iteratively constructing a linear combination of indicator functions of simple polygons.