基于音频特征的自嵌入数字水印技术

论文提出一种用于音频数据内容认证与恢复的数字水印算法。该算法基于音频主要特征生成水印,并自嵌入到原始音频数据,使得水印能检测和定位对音频的篡改,并能对篡改部分进行近似恢复。其基本思路是把音频分段,每段的主要DCT系数经过量化和加密后,作为水印嵌入另一个音频段的LSB最低位之中。这样能保证音频恢复时有较好的质量。水印是使用音频的主要特征DCT系数及其位置,故能实现盲提取。

Technique of characteristic-based self-embedded watermark using in audio

In this paper,a technique of watermark using in audio authentication and recovery is presented.The arithmetic is based on audio characteristic to create watermark,and make this watermark embedded in the audio itself.It can not only check and locate tamper to the audio,but also similarly recover.The main idea of this arithmetic is to divide audio into blocks,and make each block DCT transformed.And the main DCT coefficients are quantized and encrypted to be the watermark.It is then be embedded to LSB bit of the audio itself.This idea can guarantee the recovery quality.The watermark is based on main DCT coefficients and its position ,therefore ,it can recover with blind source.