A Graph-based Iterative Algorithm for Inverse Problems with Local and Non-local Regularizations

DOI

10.2991/ifmca-16.2017.17How to use a DOI?

Keywords

Inverse Problems, Total Variation, Image Prior

Abstract

I In this paper, we propose a new form of prior which combines the local total variation regularization with non-local graph-based variation regularization to solve such inverse problems in the field of image processing. The algorithm iteratively updates the image and the weight graph calculated from the present image..

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Chen
AU  - Chuan Xie
AU  - Yongchao Wang
AU  - Zhijie Lin
AU  - Lei Zhao
PY  - 2017/03
DA  - 2017/03
TI  - A Graph-based Iterative Algorithm for Inverse Problems with Local and Non-local Regularizations
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.17
DO  - 10.2991/ifmca-16.2017.17
ID  - Chen2017/03
ER  -