Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

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

Authors
Ming Chen, Chuan Xie, Yongchao Wang, Zhijie Lin, Lei Zhao
Corresponding Author
Ming Chen
Available Online March 2017.
DOI
https://doi.org/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..
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifmca-16.2017.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.2991/ifmca-16.2017.17
ID  - Chen2017/03
ER  -