Watermarking security incorporating natural scene statistics

Jiangqun Ni; Rongyue Zhang; Chen Fang; Jiwu Huang; Chuntao Wang; Hyoung Joong Kim

doi:10.1007/978-3-540-88961-8_10

Watermarking security incorporating natural scene statistics

Jiangqun Ni, Rongyue Zhang, Chen Fang, Jiwu Huang, Chuntao Wang, Hyoung Joong Kim

School of Cybersecurity

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

3 Citations (Scopus)

Abstract

Watermarking security has emerged as the domain of extensive research in recent years. This paper presents both information theoretic analysis and practical attack algorithm for spread-spectrum based watermarking security incorporating natural scene statistics (NSS) model. Firstly, the Gaussian scale mixture (GSM) is introduced as the NSS model. The security is quantified by the mutual information between the observed watermarked signals and the secret carriers. The new security measures are then derived based on the GSM model, which allows for more accurate evaluation of watermarking security. Finally, the practical attack algorithm is developed in the framework of variational Bayesian ICA, which is shown to increase the performance and flexibility by allowing incorporation of prior knowledge of host signal. Extensive simulations are carried out to demonstrate the feasibility and effectiveness of the proposed algorithm.

Original language	English
Title of host publication	Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers
Publisher	Springer Verlag
Pages	132-146
Number of pages	15
ISBN (Print)	3540889604, 9783540889601
DOIs	https://doi.org/10.1007/978-3-540-88961-8_10
Publication status	Published - 2008
Event	10th International Workshop on Information Hiding, IH 2008 - Santa Barbara, CA, United States Duration: 2008 May 19 → 2008 May 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5284 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	10th International Workshop on Information Hiding, IH 2008
Country/Territory	United States
City	Santa Barbara, CA
Period	08/5/19 → 08/5/21

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-88961-8_10

Cite this

Ni, J., Zhang, R., Fang, C., Huang, J., Wang, C., & Kim, H. J. (2008). Watermarking security incorporating natural scene statistics. In Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers (pp. 132-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5284 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-88961-8_10

Watermarking security incorporating natural scene statistics. / Ni, Jiangqun; Zhang, Rongyue; Fang, Chen et al.

Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers. Springer Verlag, 2008. p. 132-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5284 LNCS).

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

Ni, J, Zhang, R, Fang, C, Huang, J, Wang, C & Kim, HJ 2008, Watermarking security incorporating natural scene statistics. in Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5284 LNCS, Springer Verlag, pp. 132-146, 10th International Workshop on Information Hiding, IH 2008, Santa Barbara, CA, United States, 08/5/19. https://doi.org/10.1007/978-3-540-88961-8_10

Ni J, Zhang R, Fang C, Huang J, Wang C, Kim HJ. Watermarking security incorporating natural scene statistics. In Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers. Springer Verlag. 2008. p. 132-146. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-88961-8_10

@inproceedings{6f64595171f346ba894152dd22de0166,

title = "Watermarking security incorporating natural scene statistics",

abstract = "Watermarking security has emerged as the domain of extensive research in recent years. This paper presents both information theoretic analysis and practical attack algorithm for spread-spectrum based watermarking security incorporating natural scene statistics (NSS) model. Firstly, the Gaussian scale mixture (GSM) is introduced as the NSS model. The security is quantified by the mutual information between the observed watermarked signals and the secret carriers. The new security measures are then derived based on the GSM model, which allows for more accurate evaluation of watermarking security. Finally, the practical attack algorithm is developed in the framework of variational Bayesian ICA, which is shown to increase the performance and flexibility by allowing incorporation of prior knowledge of host signal. Extensive simulations are carried out to demonstrate the feasibility and effectiveness of the proposed algorithm.",

author = "Jiangqun Ni and Rongyue Zhang and Chen Fang and Jiwu Huang and Chuntao Wang and Kim, {Hyoung Joong}",

year = "2008",

doi = "10.1007/978-3-540-88961-8_10",

language = "English",

isbn = "3540889604",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "132--146",

booktitle = "Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers",

note = "10th International Workshop on Information Hiding, IH 2008 ; Conference date: 19-05-2008 Through 21-05-2008",

}

TY - GEN

T1 - Watermarking security incorporating natural scene statistics

AU - Ni, Jiangqun

AU - Zhang, Rongyue

AU - Fang, Chen

AU - Huang, Jiwu

AU - Wang, Chuntao

AU - Kim, Hyoung Joong

PY - 2008

Y1 - 2008

N2 - Watermarking security has emerged as the domain of extensive research in recent years. This paper presents both information theoretic analysis and practical attack algorithm for spread-spectrum based watermarking security incorporating natural scene statistics (NSS) model. Firstly, the Gaussian scale mixture (GSM) is introduced as the NSS model. The security is quantified by the mutual information between the observed watermarked signals and the secret carriers. The new security measures are then derived based on the GSM model, which allows for more accurate evaluation of watermarking security. Finally, the practical attack algorithm is developed in the framework of variational Bayesian ICA, which is shown to increase the performance and flexibility by allowing incorporation of prior knowledge of host signal. Extensive simulations are carried out to demonstrate the feasibility and effectiveness of the proposed algorithm.

AB - Watermarking security has emerged as the domain of extensive research in recent years. This paper presents both information theoretic analysis and practical attack algorithm for spread-spectrum based watermarking security incorporating natural scene statistics (NSS) model. Firstly, the Gaussian scale mixture (GSM) is introduced as the NSS model. The security is quantified by the mutual information between the observed watermarked signals and the secret carriers. The new security measures are then derived based on the GSM model, which allows for more accurate evaluation of watermarking security. Finally, the practical attack algorithm is developed in the framework of variational Bayesian ICA, which is shown to increase the performance and flexibility by allowing incorporation of prior knowledge of host signal. Extensive simulations are carried out to demonstrate the feasibility and effectiveness of the proposed algorithm.

UR - http://www.scopus.com/inward/record.url?scp=56749154333&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-88961-8_10

DO - 10.1007/978-3-540-88961-8_10

M3 - Conference contribution

AN - SCOPUS:56749154333

SN - 3540889604

SN - 9783540889601

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 132

EP - 146

BT - Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers

PB - Springer Verlag

T2 - 10th International Workshop on Information Hiding, IH 2008

Y2 - 19 May 2008 through 21 May 2008

ER -

Watermarking security incorporating natural scene statistics

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this