Reversible Audio Information Hiding for Tampering Detection and Localization Using Sample Scanning Method
Reversible Audio Information Hiding for Tampering Detection and Localization Using Sample Scanning Method
复制标题
DOI：
10.2197/ipsjjip.25.469
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Xuping Huang;Nobutaka Ono;Akira Nishimura;I. Echizen
中科院分区：
文献类型：
--
作者：
Xuping Huang;Nobutaka Ono;Akira Nishimura;I. Echizen
针对数字音频内容，提出了可逆音频信息隐藏和采样扫描方法，实现了对每帧音频内容篡改位置的详细检测和定位。在这项研究中提出的方法允许检测多个篡改和重用可靠的内容，以及避免错误检测，这是不可能的其他方法同时实现。该方法将原始信号划分为固定长度的帧，然后通过整数修正离散余弦变换（intDCT）将其变换为离散余弦变换（DCT）系数。DCT系数的扩展被应用于嵌入基于内容的散列作为有效载荷。整数DCT算法确保了变换的可逆性，从而可以完美地恢复原始数据和嵌入的有效载荷，以实现数据完整性的盲验证。语音质量感知评价（PESQ）的客观平均意见（MOSLQO），分段信噪比（segSNR）和主观评价结果表明，该算法提供了良好的音质（MOSLQO和segSNR分别为4.41和23.31 dB，容量为8,000 bps）。检测和定位是准确的，在插入或删除的情况下正确定位篡改帧。
Reversible audio information hiding and sample-scanning methods are proposed for digital audio content to achieve detailed detection and localization of tampered positions in each frame. The method proposed in this study allows detecting multiple tampering and reusing reliable content as well as avoiding false detection which were impossible for other methods to simultaneously achieve. In the proposed method, the original signal is partitioned into fixed-length frames and then transformed into discrete cosine transform (DCT) coefficients by the integer modified DCT (intDCT). Expansion of the DCT coefficients is applied to embed a content-based hash as a payload. The integer DCT algorithm ensures the reversibility of the transform so that the original data and embedded payload can be perfectly restored to enable blind verification of the data integrity. The perceptual evaluation of speech quality (PESQ) with the listening quality objective mean opinion (MOSLQO), the segmental signal to noise ratio (segSNR), and subjective evaluation results show that the proposed algorithm provides good sound quality (MOSLQO and segSNR are respectively 4.41 and 23.31 dB on average for a capacity of 8,000 bps). Detection and localization are accurate in terms of correctly localizing tampered frames in case of insertion or deletion.