Medical Volume Data Zero-Watermarking Algorithm Using 3D-DCT and Chaotic Neural Network

Bao Ru Han; Jing Bing Li

doi:10.4028/www.scientific.net/AMM.401-403.1561

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Medical Volume Data Zero-Watermarking Algorithm...

Medical Volume Data Zero-Watermarking Algorithm Using 3D-DCT and Chaotic Neural Network

Abstract:

This paper presented a new watermarking algorithm based on 3D-DCT and chaotic neural network in order to protect three-dimensional medical images. The algorithm adopts a wealth of information grayscale image as a watermark and three-dimensional medical image as the original carrier. It utilizes chaos neural network for scrambling and encryption of watermarking image. The embedded watermark has cryptographic security significance. Experimental results show that the algorithm is simple, which is a blind watermarking algorithm; the watermark extraction process does not require the original image. It is capable of resisting shear and filtering attacks.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1561-1564

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1561

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Online since:

September 2013

Authors:

Bao Ru Han, Jing Bing Li

Keywords:

3D-DCT, Chaotic Neural Network, Watermarking Algorithm

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