SVD-based digital image watermarking on approximated orthogonal matrix

Yevhen Zolotavkin; Martti Juhola

SVD-based digital image watermarking on approximated orthogonal matrix

Yevhen Zolotavkin
, Martti Juhola

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

Abstract

A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness of watermark embedded by our method was higher for all the proposed rules under condition of jpeg compression and in some cases outperformed existing method for more than 46%.

Original language	English
Title of host publication	Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013)
Subtitle of host publication	Reykjavik, Iceland, 29 - 31 July, 2-13
Editors	Pierangela Samarati
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	10
ISBN (Print)	9789897581311
Publication status	Published - 2013
Externally published	Yes
Event	International Conference on Information Security and Cryptography 2013 - Reykjavik, Iceland Duration: 29 Jul 2013 → 31 Jul 2013 Conference number: 10th http://www.secrypt.icete.org/?y=2013

Conference

Conference	International Conference on Information Security and Cryptography 2013
Abbreviated title	SECRYPT 2013
Country/Territory	Iceland
City	Reykjavik
Period	29/07/13 → 31/07/13
Other	SECRYPT is part of ICETE, the 10th International Joint Conference on e-Business and Telecommunications. Registration to SECRYPT allows free access to all other ICETE conferences. ICETE 2013 will be held in conjunction with DATA 2013, ICSOFT 2013 and SIMULTECH 2013. Registration to ICETE allows free access to the DATA, ICSOFT and SIMULTECH conferences (as a non-speaker).
Internet address	http://www.secrypt.icete.org/?y=2013

Keywords

Digital image watermarking
Singular value decomposition
Robustness
Distortions
Transparency

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Cite this

Zolotavkin, Y., & Juhola, M. (2013). SVD-based digital image watermarking on approximated orthogonal matrix. In P. Samarati (Ed.), Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013): Reykjavik, Iceland, 29 - 31 July, 2-13 IEEE, Institute of Electrical and Electronics Engineers. http://ieeexplore.ieee.org.ezproxy.lib.monash.edu.au/document/7223181/?reload=true

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title = "SVD-based digital image watermarking on approximated orthogonal matrix",

abstract = "A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness of watermark embedded by our method was higher for all the proposed rules under condition of jpeg compression and in some cases outperformed existing method for more than 46\%.",

keywords = "Digital image watermarking, Singular value decomposition, Robustness, Distortions, Transparency",

author = "Yevhen Zolotavkin and Martti Juhola",

year = "2013",

language = "English",

isbn = "9789897581311",

editor = "Pierangela Samarati",

booktitle = "Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference on Information Security and Cryptography 2013, SECRYPT 2013 ; Conference date: 29-07-2013 Through 31-07-2013",

url = "http://www.secrypt.icete.org/?y=2013",

}

Zolotavkin, Y & Juhola, M 2013, SVD-based digital image watermarking on approximated orthogonal matrix. in P Samarati (ed.), Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013): Reykjavik, Iceland, 29 - 31 July, 2-13. IEEE, Institute of Electrical and Electronics Engineers, International Conference on Information Security and Cryptography 2013, Reykjavik, Iceland, 29/07/13. <http://ieeexplore.ieee.org.ezproxy.lib.monash.edu.au/document/7223181/?reload=true>

SVD-based digital image watermarking on approximated orthogonal matrix. / Zolotavkin, Yevhen; Juhola, Martti.
Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013): Reykjavik, Iceland, 29 - 31 July, 2-13. ed. / Pierangela Samarati. IEEE, Institute of Electrical and Electronics Engineers, 2013.

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

TY - GEN

T1 - SVD-based digital image watermarking on approximated orthogonal matrix

AU - Zolotavkin, Yevhen

AU - Juhola, Martti

N1 - Conference code: 10th

PY - 2013

Y1 - 2013

N2 - A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness of watermark embedded by our method was higher for all the proposed rules under condition of jpeg compression and in some cases outperformed existing method for more than 46%.

AB - A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness of watermark embedded by our method was higher for all the proposed rules under condition of jpeg compression and in some cases outperformed existing method for more than 46%.

KW - Digital image watermarking

KW - Singular value decomposition

KW - Robustness

KW - Distortions

KW - Transparency

UR - https://www.scopus.com/pages/publications/84887706544

M3 - Conference Paper

SN - 9789897581311

BT - Proceedings of the 10th International Conference on Security and Cryptography (SECRYPT 2013)

A2 - Samarati, Pierangela

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - International Conference on Information Security and Cryptography 2013

Y2 - 29 July 2013 through 31 July 2013

ER -

SVD-based digital image watermarking on approximated orthogonal matrix

Abstract

Conference

Keywords

Access to Document

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