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Fragile Audio Watermarking with Perfect Restoration Capacity Based on an Adapted Integer Transform
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作者 LUO Xinrong XIANG Shijun 《Wuhan University Journal of Natural Sciences》 CAS 2014年第6期497-504,共8页
We propose a novel audio watermarking scheme which can recover the original audio carrier perfectly if the watermarked audio is modified. Besides, we can adjust the maximum tampered rate allowed and the quality of wat... We propose a novel audio watermarking scheme which can recover the original audio carrier perfectly if the watermarked audio is modified. Besides, we can adjust the maximum tampered rate allowed and the quality of watermarked audio flexibly as required. In the scheme, an efficient generalized integer transform is improved to embed watermark data which are composed of least significant bits(LSBs) of averages in each patch, reference-bits and check-bits. LSBs are needed in the inverse transform. Then, by comparing the extracted check-bits and calculated ones, the modified area can be localized. Finally, reliable reference-bits and samples data help us reconstruct the original audio without errors. The efficiency of the proposed method is theoretically and experimentally verified. 展开更多
关键词 error-free restoration integer transform fragile audio watermarking
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