Journal of Electrical Engineering and Technology

  • 제13권1호
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  • Pages.476-484
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  • 2018
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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An Efficient Selective Method for Audio Watermarking Against De-synchronization Attacks

  • 투고 : 2016.06.05
  • 심사 : 2017.09.26
  • 발행 : 2018.01.01
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⟨ 이전 논문 다음 논문 ⟩

초록

The high capacity audio watermarking algorithms are facing a main challenge in satisfying the robustness against attacks especially on de-synchronization attacks. In this paper, a robust and a high capacity algorithm is proposed using segment selection, Stationary Wavelet Transform (SWT) and the Quantization Index Modulation (QIM) techniques along with new synchronization mechanism. The proposed algorithm provides enhanced trade-off between robustness, imperceptibility, and capacity. The achieved watermarking improves the reliability of the available watermarking methods and shows high robustness towards signal processing (manipulating) attacks especially the de-synchronization attacks such as cropping, jittering, and zero inserting attacks. For imperceptibility evaluation, high signal to noise ratio values of above 22 dB has been achieved. Also subjective test with volunteer listeners shows that the proposed method has high imperceptibility with Subjective Difference Grade (SDG) of 4.76. Meanwhile, high rational capacity up to 176.4 bps is also achieved.

키워드

E1EEFQ_2018_v13n1_476_f0001.png 이미지

Fig. 1. Synchronization method in proposed algorithm

E1EEFQ_2018_v13n1_476_f0002.png 이미지

Fig. 2. Calculation of SWT: (a) Decomposition step, (b)Filter computation for next level

E1EEFQ_2018_v13n1_476_f0003.png 이미지

Fig. 3. Flowchart for embedding process

E1EEFQ_2018_v13n1_476_f0004.png 이미지

Fig. 4. Flowchart for extracting process

E1EEFQ_2018_v13n1_476_f0005.png 이미지

Fig. 5. Evaluation of the proposed algorithm

E1EEFQ_2018_v13n1_476_f0006.png 이미지

Fig. 6. Difference between original and watermarked signal

E1EEFQ_2018_v13n1_476_f0007.png 이미지

Fig. 7. Mean SDG values of ten clips for ten volunteerlicensers

Table 1. Robustness evaluation against various attacks

E1EEFQ_2018_v13n1_476_t0001.png 이미지

참고문헌

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