Design and Realization of a Meaningful Digital Watermarking Algorithm Based on RBF Neural Network*

2005 International Conference on Neural Networks and Brain Pub Date : 2006-10-23 DOI:10.1109/WCICA.2006.1712891

Quan Liu, Xuemei Jiang

引用次数: 7

Abstract

A meaningful digital image watermarking algorithm based on RBF (radial basis function neural network) neural network is proposed in this paper. RBF neural network is used to simulate human visual speciality to determine the watermark embedding intensity endured by DCT coefficients and the watermarking is a meaningful two value image. It is pre-treated by Arnold scrambling algorithm, and then is embedded into DCT coefficients. So this algorithm has good stability. The experiments of results show that the algorithm has good robustness against all kinds of attacks

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基于RBF神经网络的有意义数字水印算法的设计与实现

提出了一种基于径向基函数神经网络(RBF)的有意义的数字图像水印算法。利用RBF神经网络模拟人的视觉特性，确定DCT系数承受的水印嵌入强度，水印是一幅有意义的二值图像。用Arnold置乱算法对其进行预处理，然后嵌入到DCT系数中。因此，该算法具有良好的稳定性。实验结果表明，该算法对各种攻击具有良好的鲁棒性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2005 International Conference on Neural Networks and Brain

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