Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Entropy Production Estimates For An Total Variation Image Model

Authors
Lihua Min, Can Feng, Zhengmeng Jin
Corresponding Author
Lihua Min
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.202How to use a DOI?
Keywords
Image processing; Entropy production estimates; Radial solution; Total Variation
Abstract

The main aim of this paper is to give some theoretical analysis for a nonlinear higher order total variation image model. Applying the algebraic approach, we transform the analytical problem of proving entropy dissipation inequality into an algebraic problem about the nonnegativity of certain polynomial. As a result, we derive some key entropy production estimates of radial symmetric solutions in higher dimensions, which improve and extend some previous results.

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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Volume Title
Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.202How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Lihua Min
AU  - Can Feng
AU  - Zhengmeng Jin
PY  - 2016/12
DA  - 2016/12
TI  - Entropy Production Estimates For An Total Variation Image Model
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 965
EP  - 969
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.202
DO  - https://doi.org/10.2991/mcei-16.2016.202
ID  - Min2016/12
ER  -