Application of Chaotic Neural Network and 3D DWT-DFT in Medical Volume Data Watermarking

Bao Ru Han; Jing Bing Li; Liang Zong

doi:10.4028/www.scientific.net/AMM.411-414.1209

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Application of Chaotic Neural Network and 3D...

Application of Chaotic Neural Network and 3D DWT-DFT in Medical Volume Data Watermarking

Abstract:

This paper proposes a digital watermarking method for the protection of medical volume data based on chaotic neural network and 3D DWT-DFT. In order to improve the security of digital watermarking, it uses chaotic sequence for scrambling .The chaotic sequence is generated by chaotic neural network. It makes full use of multi-level decomposition characteristics of 3D DWT-DFT, embedding watermark in the transform domain. The experimental results show that the method can resist filtering and rotation attacks, which has good robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1209-1212

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1209

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Online since:

September 2013

Authors:

Bao Ru Han, Jing Bing Li, Liang Zong

Keywords:

3D DWT-DFT, Chaotic Neural Network, Watermarking Method

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