Controlled Total Variation regularization for inverse problems
Computer Vision and Pattern Recognition
2011-10-17 v1
Abstract
This paper provides a new algorithm for solving inverse problems, based on the minimization of the norm and on the control of the Total Variation. It consists in relaxing the role of the Total Variation in the classical Total Variation minimization approach, which permits us to get better approximation to the inverse problems. The numerical results on the deconvolution problem show that our method outperforms some previous ones.
Cite
@article{arxiv.1110.3194,
title = {Controlled Total Variation regularization for inverse problems},
author = {Qiyu Jin and Ion Grama and Quansheng Liu},
journal= {arXiv preprint arXiv:1110.3194},
year = {2011}
}
Comments
10 pages, 10 figures and 2 tables