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Invariant domain watermarking using heaviside function of order alpha and fractional Gaussian field.

Abbasi A, Woo CS, Ibrahim RW, Islam S - PLoS ONE (2015)

Bottom Line: A cross correlation method based on the fractional Gaussian field is used for watermark detection.Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection thereby making it more practical than non-blind watermarking techniques.Experimental results confirmed that the proposed technique has a high level of robustness.

View Article: PubMed Central - PubMed

Affiliation: Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.

ABSTRACT
Digital image watermarking is an important technique for the authentication of multimedia content and copyright protection. Conventional digital image watermarking techniques are often vulnerable to geometric distortions such as Rotation, Scaling, and Translation (RST). These distortions desynchronize the watermark information embedded in an image and thus disable watermark detection. To solve this problem, we propose an RST invariant domain watermarking technique based on fractional calculus. We have constructed a domain using Heaviside function of order alpha (HFOA). The HFOA models the signal as a polynomial for watermark embedding. The watermark is embedded in all the coefficients of the image. We have also constructed a fractional variance formula using fractional Gaussian field. A cross correlation method based on the fractional Gaussian field is used for watermark detection. Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection thereby making it more practical than non-blind watermarking techniques. Experimental results confirmed that the proposed technique has a high level of robustness.

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Watermark embedding scheme for the Invariant domain.
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pone.0123427.g002: Watermark embedding scheme for the Invariant domain.

Mentions: For the current implementation, the watermark signal consists of {+1,-1} bits as shown in Fig 1. The watermark embedding process can be represented by the following equation and is shown in Fig 2:S=s+(wb×κ)2where S represents the watermark signal, s is the original signal (i.e. coefficients in our case), wb is the watermark bit. The parameter κ is a constant value.


Invariant domain watermarking using heaviside function of order alpha and fractional Gaussian field.

Abbasi A, Woo CS, Ibrahim RW, Islam S - PLoS ONE (2015)

Watermark embedding scheme for the Invariant domain.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4401616&req=5

pone.0123427.g002: Watermark embedding scheme for the Invariant domain.
Mentions: For the current implementation, the watermark signal consists of {+1,-1} bits as shown in Fig 1. The watermark embedding process can be represented by the following equation and is shown in Fig 2:S=s+(wb×κ)2where S represents the watermark signal, s is the original signal (i.e. coefficients in our case), wb is the watermark bit. The parameter κ is a constant value.

Bottom Line: A cross correlation method based on the fractional Gaussian field is used for watermark detection.Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection thereby making it more practical than non-blind watermarking techniques.Experimental results confirmed that the proposed technique has a high level of robustness.

View Article: PubMed Central - PubMed

Affiliation: Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.

ABSTRACT
Digital image watermarking is an important technique for the authentication of multimedia content and copyright protection. Conventional digital image watermarking techniques are often vulnerable to geometric distortions such as Rotation, Scaling, and Translation (RST). These distortions desynchronize the watermark information embedded in an image and thus disable watermark detection. To solve this problem, we propose an RST invariant domain watermarking technique based on fractional calculus. We have constructed a domain using Heaviside function of order alpha (HFOA). The HFOA models the signal as a polynomial for watermark embedding. The watermark is embedded in all the coefficients of the image. We have also constructed a fractional variance formula using fractional Gaussian field. A cross correlation method based on the fractional Gaussian field is used for watermark detection. Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection thereby making it more practical than non-blind watermarking techniques. Experimental results confirmed that the proposed technique has a high level of robustness.

Show MeSH
Related in: MedlinePlus