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



Jingbing Li1, Yaoli Liu1, Jiling Zhong2, *
1 College of Information Science and Technology, Hainan University, Haikou, China, 570228
2 Department of Computer Science, Troy University, Alabama, USA, 36082


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Creative Commons License
© Li et al.; Licensee Bentham Open.

open-access license: 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.

* Address correspondence to this author at the Department of Computer Science, Troy University, Alabama, USA, 36082 ; Tel: 334-670-3388; Fax:334-670-3673; E-mail: jzhong@troy.edu


Abstract

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.

Keywords:: 3D DWT-DCT, Digital watermarking, Logistic Map, Zero-watermarking.



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