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3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data

Applying digital watermarking technique for the security protection of medical information systems is a hotspot of research in recent years. In this paper, we present a robust watermarking algorithm for medical volume data using 3D DWT-DCT and Logistic Map. After applying Logistic Map to enhance the...

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Detalles Bibliográficos
Autores principales: Li, Jingbing, Liu, Yaoli, Zhong, Jiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382563/
https://www.ncbi.nlm.nih.gov/pubmed/25852783
http://dx.doi.org/10.2174/1874120701408010131
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author Li, Jingbing
Liu, Yaoli
Zhong, Jiling
author_facet Li, Jingbing
Liu, Yaoli
Zhong, Jiling
author_sort Li, Jingbing
collection PubMed
description Applying digital watermarking technique for the security protection of medical information systems is a hotspot of research in recent years. In this paper, we present a robust watermarking algorithm for medical volume data using 3D DWT-DCT and Logistic Map. After applying Logistic Map to enhance the security of watermarking, the visual feature vector of medical volume data is obtained using 3D DWT-DCT. Combining the feature vector, the third party concept and Hash function, a zero-watermarking scheme can be achieved. The proposed algorithm can mitigate the illogicality between robustness and invisibility. The experiment results show that the proposed algorithm is robust to common and geometrical attacks.
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spelling pubmed-43825632015-04-07 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data Li, Jingbing Liu, Yaoli Zhong, Jiling Open Biomed Eng J Article Applying digital watermarking technique for the security protection of medical information systems is a hotspot of research in recent years. In this paper, we present a robust watermarking algorithm for medical volume data using 3D DWT-DCT and Logistic Map. After applying Logistic Map to enhance the security of watermarking, the visual feature vector of medical volume data is obtained using 3D DWT-DCT. Combining the feature vector, the third party concept and Hash function, a zero-watermarking scheme can be achieved. The proposed algorithm can mitigate the illogicality between robustness and invisibility. The experiment results show that the proposed algorithm is robust to common and geometrical attacks. Bentham Open 2014-12-31 /pmc/articles/PMC4382563/ /pubmed/25852783 http://dx.doi.org/10.2174/1874120701408010131 Text en © Li et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Li, Jingbing
Liu, Yaoli
Zhong, Jiling
3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title_full 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title_fullStr 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title_full_unstemmed 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title_short 3D DWT-DCT and Logistic MAP Based Robust Watermarking for Medical Volume Data
title_sort 3d dwt-dct and logistic map based robust watermarking for medical volume data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382563/
https://www.ncbi.nlm.nih.gov/pubmed/25852783
http://dx.doi.org/10.2174/1874120701408010131
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