| Related citation: | Bao-Yuan Chen,Yi-Qiang Zhu,Lei-Lei Tian,Ying-Ying Li,Ya-Qiong Lan.Robust Audio Blind Watermarking Algorithm Based on Haar Transform[J].Journal of Harbin Institute Of Technology(New Series),2013,20(3):104-108.DOI:10.11916/j.issn.1005-9113.2013.03.017. |
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| Author Name | Affiliation | | Bao-Yuan Chen | The Higher Educational Key Laboratory for Measuring ＆ Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China | | Yi-Qiang Zhu | The Higher Educational Key Laboratory for Measuring ＆ Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China | | Lei-Lei Tian | The Higher Educational Key Laboratory for Measuring ＆ Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China | | Ying-Ying Li | The Higher Educational Key Laboratory for Measuring ＆ Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China | | Ya-Qiong Lan | The Higher Educational Key Laboratory for Measuring ＆ Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China |
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| Abstract: |
| To solve the problem of low capacity of audio watermarking information and poor robustness of impact resistance, a digital audio watermark algorithm based on wavelet transform is presented in this paper. In this algorithm, the fine and approximate components are obtained when the Haar wavelet base is used to convert each frame of the audio signal to its discrete transform. Then the HAS algorithm is applied to the fine component embedded with watermark to realize encryption process. The original audio carrier signal is not needed in extraction, as long as the signal is embedded after the frame is divided. The first two sections of each frame are implemented in Haar transform respectively to get the fine and approximate component. The watermark images are obtained from the former two fine components of the energy watermark sequence after calculating, comparing and extracting. The simulation results show that there is a certain transparency for the algorithm, a good robustness against the resampling and low pass filtering attack. |
| Key words: wavelet transform digital watermarking blind extraction |
| DOI：10.11916/j.issn.1005-9113.2013.03.017 |
| Clc Number:S7 |
| Fund: |
