Adaptive Watermarking Algorithm Based on Perceptual Models

Fan Zhang, Jianjun Zhao, Xinhong Zhang
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引用次数: 1

Abstract

A blind digital watermarking algorithm is presented based on the perceptual models and Hopfield neural network. The Hopfield neural network stores the host image and the original watermark. The noise visibility function (NVF) is used for adaptively watermark embedding. In the watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment
基于感知模型的自适应水印算法
提出了一种基于感知模型和Hopfield神经网络的盲数字水印算法。Hopfield神经网络存储主图像和原始水印。采用噪声可见性函数(NVF)自适应嵌入水印。在水印提取中,利用神经网络提取主图像和原始水印。实验结果表明,该水印算法具有良好的优选性
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