Robust audio watermarking in wavelet domain using frequency hopping and patchwork method

N. Cvejic, T. Seppanen
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引用次数: 37

Abstract

In this work, we present a novel robust audio watermarking method in wavelet domain. Embedding of watermarks is performed in a perceptually significant set of sub-bands of the host audio. In order to enhance security, watermark is embedded in a randomly selected sub-band of the host audio according to a secret key. Watermark embedding to a mapped subband is done in a predefined time period, similarly to frequency hopping approach in digital communications. Detection method is a statistical method motivated by modified patchwork algorithm, relying on large data sets. Using simple Haar decomposition and test statistics, the algorithm proved itself in the terms of computational complexity. Subjective listening test proved high perceptual transparency of the watermarked audio clips. Using embedding rate of 4.61 bps, high robustness against common audio watermarking attacks was obtained, with average bit error rate lower than 1%.
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基于跳频拼接法的小波域鲁棒音频水印
本文提出了一种新的小波域鲁棒音频水印方法。水印的嵌入是在宿主音频的一组感知上显著的子带中进行的。为了提高安全性,水印根据密钥嵌入到随机选择的主机音频子带中。水印嵌入到映射子带是在预定义的时间段内完成的,类似于数字通信中的跳频方法。检测方法是一种基于改进拼接算法的统计方法,依赖于大数据集。使用简单的哈尔分解和测试统计,该算法在计算复杂度方面证明了自己。主观听力测试证明了水印音频片段具有较高的感知透明度。采用4.61 bps的嵌入率,对常见的音频水印攻击具有较高的鲁棒性,平均误码率低于1%。
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