Recursive optimization of spherical watermarking using transportation theory

Yuan Gen Wang; Jian Cao; Guopu Zhu

doi:10.1109/ICIP.2015.7351514

Recursive optimization of spherical watermarking using transportation theory

Yuan Gen Wang
, Jian Cao
, Guopu Zhu^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, we first define a class of secure spread spectrum (SS) watermarking, called spherical watermarking (SW), of which the distribution of the watermarked correlations has a uniform distribution over a spherical surface. Then, we propose an implementation of SW, namely transportation SW (TSW), which recursively minimizes embedding distortion using transportation theory. A theoretical analysis is also presented on the performance of the proposed TSW scheme in terms of the watermark to content power ratio (WCR), and is validated by our simulations. Simulation results show that TSW performs better in terms of WCR and robustness than existing secure SS watermarking schemes.

Original language	English
Title of host publication	2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	3793-3796
Number of pages	4
ISBN (Electronic)	9781479983391
DOIs	https://doi.org/10.1109/ICIP.2015.7351514
State	Published - 9 Dec 2015
Externally published	Yes
Event	IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 27 Sep 2015 → 30 Sep 2015

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2015-December
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing, ICIP 2015
Country/Territory	Canada
City	Quebec City
Period	27/09/15 → 30/09/15

Keywords

Spread spectrum watermarking
embedding distortion
security
transportation theory

Access to Document

10.1109/ICIP.2015.7351514

Cite this

Wang, Y. G., Cao, J., & Zhu, G. (2015). Recursive optimization of spherical watermarking using transportation theory. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 3793-3796). Article 7351514 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351514

@inproceedings{11b3c1d5565f45b9b67183e9b9a70c60,

title = "Recursive optimization of spherical watermarking using transportation theory",

abstract = "In this paper, we first define a class of secure spread spectrum (SS) watermarking, called spherical watermarking (SW), of which the distribution of the watermarked correlations has a uniform distribution over a spherical surface. Then, we propose an implementation of SW, namely transportation SW (TSW), which recursively minimizes embedding distortion using transportation theory. A theoretical analysis is also presented on the performance of the proposed TSW scheme in terms of the watermark to content power ratio (WCR), and is validated by our simulations. Simulation results show that TSW performs better in terms of WCR and robustness than existing secure SS watermarking schemes.",

keywords = "Spread spectrum watermarking, embedding distortion, security, transportation theory",

author = "Wang, \{Yuan Gen\} and Jian Cao and Guopu Zhu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",

year = "2015",

month = dec,

day = "9",

doi = "10.1109/ICIP.2015.7351514",

language = "英语",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "3793--3796",

booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",

address = "美国",

}

Wang, YG, Cao, J & Zhu, G 2015, Recursive optimization of spherical watermarking using transportation theory. in 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings., 7351514, Proceedings - International Conference on Image Processing, ICIP, vol. 2015-December, IEEE Computer Society, pp. 3793-3796, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351514

Recursive optimization of spherical watermarking using transportation theory. / Wang, Yuan Gen; Cao, Jian; Zhu, Guopu.
2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. p. 3793-3796 7351514 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Recursive optimization of spherical watermarking using transportation theory

AU - Wang, Yuan Gen

AU - Cao, Jian

AU - Zhu, Guopu

PY - 2015/12/9

Y1 - 2015/12/9

N2 - In this paper, we first define a class of secure spread spectrum (SS) watermarking, called spherical watermarking (SW), of which the distribution of the watermarked correlations has a uniform distribution over a spherical surface. Then, we propose an implementation of SW, namely transportation SW (TSW), which recursively minimizes embedding distortion using transportation theory. A theoretical analysis is also presented on the performance of the proposed TSW scheme in terms of the watermark to content power ratio (WCR), and is validated by our simulations. Simulation results show that TSW performs better in terms of WCR and robustness than existing secure SS watermarking schemes.

AB - In this paper, we first define a class of secure spread spectrum (SS) watermarking, called spherical watermarking (SW), of which the distribution of the watermarked correlations has a uniform distribution over a spherical surface. Then, we propose an implementation of SW, namely transportation SW (TSW), which recursively minimizes embedding distortion using transportation theory. A theoretical analysis is also presented on the performance of the proposed TSW scheme in terms of the watermark to content power ratio (WCR), and is validated by our simulations. Simulation results show that TSW performs better in terms of WCR and robustness than existing secure SS watermarking schemes.

KW - Spread spectrum watermarking

KW - embedding distortion

KW - security

KW - transportation theory

UR - https://www.scopus.com/pages/publications/84956626620

U2 - 10.1109/ICIP.2015.7351514

DO - 10.1109/ICIP.2015.7351514

M3 - 会议稿件

AN - SCOPUS:84956626620

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3793

EP - 3796

BT - 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings

PB - IEEE Computer Society

T2 - IEEE International Conference on Image Processing, ICIP 2015

Y2 - 27 September 2015 through 30 September 2015

ER -

Recursive optimization of spherical watermarking using transportation theory

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this