In this paper we study the one dimensional second order total generalised variation regularisation (TGV) problem with L2 data fitting term. We examine some properties of this model and we calculate exact solutions using simple piecewise affine functions as data terms. We investigate how these solutions behave with respect to the TGV parameters and we verify our results using numerical experiments.
@article{arxiv.1309.5900,
title = {A study of the one dimensional total generalised variation regularisation problem},
author = {Konstantinos Papafitsoros and Kristian Bredies},
journal= {arXiv preprint arXiv:1309.5900},
year = {2013}
}