Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

Review of distortion function design in spatial domain

Authors
Jun Li
Corresponding Author
Jun Li
Available Online April 2017.
DOI
10.2991/icmse-17.2017.52How to use a DOI?
Keywords
Steganography; distortion function; cost; spatial domain;
Abstract

In modern steganography, designing a distortion function to get the cost for every cover elements is an open problem. Many researchers have proposed a lot of different valuable distortion functions from different point of view. In this paper, the distortion function are classified to three categories, the first is from the view of steganalysis to design distortion function, the second is the distortion function are designed by filters bank, the third is the distortion function is designed begin with a well model of images. It is hoped that the summarized result in this paper is valuable for designing other better distortion function.

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 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-327-2
ISSN
2352-5401
DOI
10.2991/icmse-17.2017.52How 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  - Jun Li
PY  - 2017/04
DA  - 2017/04
TI  - Review of distortion function design in spatial domain
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.52
DO  - 10.2991/icmse-17.2017.52
ID  - Li2017/04
ER  -