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Development of a Robust Multiple Audio Watermarking Using Improved Quantization Index Modulation and Support Vector Machine  

Seo, Ye-Jin (울산대학교)
Cho, San-Gjin (울산대학교)
Chong, Ui-Pil (울산대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.16, no.2, 2015 , pp. 63-68 More about this Journal
Abstract
This paper proposes a robust multiple audio watermarking algorithm using improved QIM(quantization index modulation) with adaptive stepsize for different signal power and SVM(support vector machine) decoding model. The proposed algorithm embeds watermarks into both frequency magnitude response and frequency phase response using QIM. This multiple embedding method can achieve a complementary robustness. The SVM decoding model can improve detection rate when it is not sure whether the extracted data are the watermarks or not. To evaluate robustness, 11 attacks are employed. Consequently, the proposed algorithm outperforms previous multiple watermarking algorithm, which is identical to the proposed one but without SVM decoding model, in PSNR and BER. It is noticeable that the proposed algorithm achieves improvements of maximum PSNR 7dB and BER 10%.
Keywords
Multiple Audio Watermarking; Frequency Magnitude Response; Frequency Phase Response; Quantization Index Modulation; Support Vector Machine;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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