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Fragile audio watermarking scheme based on sample mean sequence

机译:基于样本均值序列的脆弱音频水印方案

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In this paper, a fragile audio watermarking scheme for content authentication is proposed. The audio signal is segmented and the sum of absolute value of samples is computed for each part, then the sum for each frame is adjusted and quantized and the quantization result is converted to binary as watermark. Then, a proper positive integer is chosen to compute the mean of continuous sample amplitude value by sliding one sample every time. The mean sequence constructs a mean line which cross timing axis in time domain. Watermark information is embedded at these intersection points with dither modulation method. Experimental results show that our fragile watermarking scheme is inaudible, and it is sensitive against MP3 compression, additive noise, re-sampling, re-quantization, low-pass filtering, etc, and it can detect and localize the tampered regions effectively and accurately.
机译:本文提出了一种用于内容认证的脆弱音频水印方案。分割音频信号,并为每个部分计算样本的绝对值之和,然后调整和量化每个帧的和,并将量化结果转换为二进制作为水印。然后,选择适当的正整数以通过每次滑动一个样本来计算连续样本幅度值的平均值。均值序列构造了一条在时域中与定时轴交叉的均值线。通过抖动调制方法将水印信息嵌入在这些交点处。实验结果表明,我们脆弱的水印方案听不清,对MP3压缩,加性噪声,重采样,重量化,低通滤波等敏感,可以有效,准确地检测和定位被篡改的区域。

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