Quantization based watermarking approach with gain attack recovery

Yevhen Zolotavkin; Martti Juhola

doi:10.1109/DICTA.2014.7008125

Quantization based watermarking approach with gain attack recovery

Yevhen Zolotavkin, Martti Juhola

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

2 Citations (Scopus)

Abstract

A new Quantization Index Modulation-based watermarking approach is proposed in this paper. With the aim to increase capacity of the watermarking channel with noise we propose Initial Data Loss during quantization for some samples in pre-defined positions. Also, the proposed approach exploits a new form of distribution of quantized samples where samples that interpret "0" and "1" have differently shaped probability density functions. This creates a distinctive feature which is expressed numerically using one out of two proposed criteria. The criteria are utilized by a procedure for recovery after possible Gain Attack. Several state of the art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.

Original language	English
Title of host publication	2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Subtitle of host publication	Wollongong, New South Wales, Australia, 25-27 November 2014
Editors	Abdesselem Bouzerdoum, Lei Wang, Philip Ogunbona, Wanging Li, Son Lam Phung
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	8
ISBN (Electronic)	9781479954094
ISBN (Print)	9781479954094
DOIs	https://doi.org/10.1109/DICTA.2014.7008125
Publication status	Published - 2014
Externally published	Yes
Event	Digital Image Computing Techniques and Applications 2014 - Wollongong, Australia Duration: 25 Nov 2014 → 27 Nov 2014 Conference number: 16th https://ssl.informatics.uow.edu.au/dicta2014/ https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding (Proceedings)

Conference

Conference	Digital Image Computing Techniques and Applications 2014
Abbreviated title	DICTA 2014
Country/Territory	Australia
City	Wollongong
Period	25/11/14 → 27/11/14
Internet address	https://ssl.informatics.uow.edu.au/dicta2014/ https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding (Proceedings)

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10.1109/DICTA.2014.7008125

Cite this

Zolotavkin, Y., & Juhola, M. (2014). Quantization based watermarking approach with gain attack recovery. In A. Bouzerdoum, L. Wang, P. Ogunbona, W. Li, & S. L. Phung (Eds.), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia, 25-27 November 2014 Article 7008125 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2014.7008125

Zolotavkin, Yevhen ; Juhola, Martti. / Quantization based watermarking approach with gain attack recovery. 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia, 25-27 November 2014 . editor / Abdesselem Bouzerdoum ; Lei Wang ; Philip Ogunbona ; Wanging Li ; Son Lam Phung. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2014.

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abstract = "A new Quantization Index Modulation-based watermarking approach is proposed in this paper. With the aim to increase capacity of the watermarking channel with noise we propose Initial Data Loss during quantization for some samples in pre-defined positions. Also, the proposed approach exploits a new form of distribution of quantized samples where samples that interpret {"}0{"} and {"}1{"} have differently shaped probability density functions. This creates a distinctive feature which is expressed numerically using one out of two proposed criteria. The criteria are utilized by a procedure for recovery after possible Gain Attack. Several state of the art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.",

author = "Yevhen Zolotavkin and Martti Juhola",

year = "2014",

doi = "10.1109/DICTA.2014.7008125",

language = "English",

isbn = "9781479954094",

editor = "Abdesselem Bouzerdoum and Lei Wang and Philip Ogunbona and Wanging Li and Phung, {Son Lam}",

booktitle = "2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)",

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

address = "United States of America",

note = "Digital Image Computing Techniques and Applications 2014, DICTA 2014 ; Conference date: 25-11-2014 Through 27-11-2014",

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Zolotavkin, Y & Juhola, M 2014, Quantization based watermarking approach with gain attack recovery. in A Bouzerdoum, L Wang, P Ogunbona, W Li & SL Phung (eds), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia, 25-27 November 2014 ., 7008125, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, Digital Image Computing Techniques and Applications 2014, Wollongong, New South Wales, Australia, 25/11/14. https://doi.org/10.1109/DICTA.2014.7008125

Quantization based watermarking approach with gain attack recovery. / Zolotavkin, Yevhen; Juhola, Martti.
2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia, 25-27 November 2014 . ed. / Abdesselem Bouzerdoum; Lei Wang; Philip Ogunbona; Wanging Li; Son Lam Phung. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2014. 7008125.

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

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T1 - Quantization based watermarking approach with gain attack recovery

AU - Zolotavkin, Yevhen

AU - Juhola, Martti

N1 - Conference code: 16th

PY - 2014

Y1 - 2014

N2 - A new Quantization Index Modulation-based watermarking approach is proposed in this paper. With the aim to increase capacity of the watermarking channel with noise we propose Initial Data Loss during quantization for some samples in pre-defined positions. Also, the proposed approach exploits a new form of distribution of quantized samples where samples that interpret "0" and "1" have differently shaped probability density functions. This creates a distinctive feature which is expressed numerically using one out of two proposed criteria. The criteria are utilized by a procedure for recovery after possible Gain Attack. Several state of the art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.

AB - A new Quantization Index Modulation-based watermarking approach is proposed in this paper. With the aim to increase capacity of the watermarking channel with noise we propose Initial Data Loss during quantization for some samples in pre-defined positions. Also, the proposed approach exploits a new form of distribution of quantized samples where samples that interpret "0" and "1" have differently shaped probability density functions. This creates a distinctive feature which is expressed numerically using one out of two proposed criteria. The criteria are utilized by a procedure for recovery after possible Gain Attack. Several state of the art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.

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DO - 10.1109/DICTA.2014.7008125

M3 - Conference Paper

SN - 9781479954094

BT - 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

A2 - Bouzerdoum, Abdesselem

A2 - Wang, Lei

A2 - Ogunbona, Philip

A2 - Li, Wanging

A2 - Phung, Son Lam

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - Digital Image Computing Techniques and Applications 2014

Y2 - 25 November 2014 through 27 November 2014

ER -

Zolotavkin Y, Juhola M. Quantization based watermarking approach with gain attack recovery. In Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SL, editors, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia, 25-27 November 2014 . Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. 7008125 doi: 10.1109/DICTA.2014.7008125

Quantization based watermarking approach with gain attack recovery

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