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An Adaptive and Secure Holographic Image Watermarking Scheme

A novel adaptive secure holographic image watermarking method in the sharp frequency localized contourlet transform (SFLCT) domain is presented. Based upon the sine logistic modulation map and the logistic map, we develop an encrypted binary computer-generated hologram technique to fabricate a holog...

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Detalles Bibliográficos
Autores principales: Yu, Chuying, Li, Xiaowei, Chen, Xinan, Li, Jianzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514948/
https://www.ncbi.nlm.nih.gov/pubmed/33267175
http://dx.doi.org/10.3390/e21050460
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author Yu, Chuying
Li, Xiaowei
Chen, Xinan
Li, Jianzhong
author_facet Yu, Chuying
Li, Xiaowei
Chen, Xinan
Li, Jianzhong
author_sort Yu, Chuying
collection PubMed
description A novel adaptive secure holographic image watermarking method in the sharp frequency localized contourlet transform (SFLCT) domain is presented. Based upon the sine logistic modulation map and the logistic map, we develop an encrypted binary computer-generated hologram technique to fabricate a hologram of a watermark first. Owing to the enormous key space of the encrypted hologram, the security of the image watermarking system is increased. Then the hologram watermark is embedded into the SFLCT coefficients with Schur decomposition. To obtain better imperceptibility and robustness, the entropy and the edge entropy are utilized to select the suitable watermark embedding positions adaptively. Compared with other watermarking schemes, the suggested method provides a better performance with respect to both imperceptibility and robustness. Experiments show that our watermarking scheme for images is not only is secure and invisible, but also has a stronger robustness against different kinds of attack.
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spelling pubmed-75149482020-11-09 An Adaptive and Secure Holographic Image Watermarking Scheme Yu, Chuying Li, Xiaowei Chen, Xinan Li, Jianzhong Entropy (Basel) Article A novel adaptive secure holographic image watermarking method in the sharp frequency localized contourlet transform (SFLCT) domain is presented. Based upon the sine logistic modulation map and the logistic map, we develop an encrypted binary computer-generated hologram technique to fabricate a hologram of a watermark first. Owing to the enormous key space of the encrypted hologram, the security of the image watermarking system is increased. Then the hologram watermark is embedded into the SFLCT coefficients with Schur decomposition. To obtain better imperceptibility and robustness, the entropy and the edge entropy are utilized to select the suitable watermark embedding positions adaptively. Compared with other watermarking schemes, the suggested method provides a better performance with respect to both imperceptibility and robustness. Experiments show that our watermarking scheme for images is not only is secure and invisible, but also has a stronger robustness against different kinds of attack. MDPI 2019-05-02 /pmc/articles/PMC7514948/ /pubmed/33267175 http://dx.doi.org/10.3390/e21050460 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Chuying
Li, Xiaowei
Chen, Xinan
Li, Jianzhong
An Adaptive and Secure Holographic Image Watermarking Scheme
title An Adaptive and Secure Holographic Image Watermarking Scheme
title_full An Adaptive and Secure Holographic Image Watermarking Scheme
title_fullStr An Adaptive and Secure Holographic Image Watermarking Scheme
title_full_unstemmed An Adaptive and Secure Holographic Image Watermarking Scheme
title_short An Adaptive and Secure Holographic Image Watermarking Scheme
title_sort adaptive and secure holographic image watermarking scheme
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514948/
https://www.ncbi.nlm.nih.gov/pubmed/33267175
http://dx.doi.org/10.3390/e21050460
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