Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

CS Technology Information Hiding Algorithm Based on Capacity Of Image Block

Authors
Pengyi Tian, Dinggen Xu
Corresponding Author
Pengyi Tian
Available Online October 2016.
DOI
10.2991/ceie-16.2017.32How to use a DOI?
Keywords
Compressed Sensing; Information Hiding; Texture Complexity
Abstract

For compressed sensing technology used in the field of information hiding, the traditional algorithm is to measure the entire carrier ( large redundancy - the entire carrier of the measured value) to hide. The calculation time is long and the stego image imperceptibility can be further improved. In this paper , first according to the number of secret information block the carrier and the complexity of vector selection and information hiding based on measurement, experiments show that this algorithm improves the imperceptibility and saves the computing resources. The effect is ideal.

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/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.32How 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  - Pengyi Tian
AU  - Dinggen Xu
PY  - 2016/10
DA  - 2016/10
TI  - CS Technology Information Hiding Algorithm Based on Capacity Of Image Block
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 247
EP  - 258
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.32
DO  - 10.2991/ceie-16.2017.32
ID  - Tian2016/10
ER  -