Robust and reversible watermarking is a potential technique in many sensitive applications, such as lossless audio or medical image\nsystems. This paper presents a novel robust reversible audio watermarking method by modifying the statistic features in time\ndomain in the way that the histogram of these statistical values is shifted for data hiding. Firstly, the original audio is divided into\nnon overlapped equal-sized frames. In each frame, the use of three samples as a group generates a prediction error and a statistical\nfeature value is calculated as the sum of all the prediction errors in the frame. The watermark bits are embedded into the frames by\nshifting the histogram of the statistical features. The watermark is reversible and robust to common signal processing operations.\nExperimental results have shown that the proposed method not only is reversible but also achieves satisfactory robustness to MP3\ncompression of 64 kbps and additive Gaussian noise of 35 dB.
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