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Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field

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 desynchroni...

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Detalles Bibliográficos
Autores principales: Abbasi, Almas, Woo, Chaw Seng, Ibrahim, Rabha Waell, Islam, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401616/
https://www.ncbi.nlm.nih.gov/pubmed/25884854
http://dx.doi.org/10.1371/journal.pone.0123427
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author Abbasi, Almas
Woo, Chaw Seng
Ibrahim, Rabha Waell
Islam, Saeed
author_facet Abbasi, Almas
Woo, Chaw Seng
Ibrahim, Rabha Waell
Islam, Saeed
author_sort Abbasi, Almas
collection PubMed
description 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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spelling pubmed-44016162015-04-21 Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field Abbasi, Almas Woo, Chaw Seng Ibrahim, Rabha Waell Islam, Saeed PLoS One Research Article 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. Public Library of Science 2015-04-17 /pmc/articles/PMC4401616/ /pubmed/25884854 http://dx.doi.org/10.1371/journal.pone.0123427 Text en © 2015 Abbasi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Abbasi, Almas
Woo, Chaw Seng
Ibrahim, Rabha Waell
Islam, Saeed
Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title_full Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title_fullStr Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title_full_unstemmed Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title_short Invariant Domain Watermarking Using Heaviside Function of Order Alpha and Fractional Gaussian Field
title_sort invariant domain watermarking using heaviside function of order alpha and fractional gaussian field
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401616/
https://www.ncbi.nlm.nih.gov/pubmed/25884854
http://dx.doi.org/10.1371/journal.pone.0123427
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