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Audio Watermarking Using Quantization Index Modulation on Significant Peaks in Frequency Domain

주파수 영역에서 주요 피크에 QIM을 적용한 오디오 워터마킹

  • 강중순 (울산과학대학 전기전자학부) ;
  • 조상진 (울산대학교 전기공학부)
  • Received : 2011.06.22
  • Accepted : 2011.07.25
  • Published : 2011.08.31

Abstract

This paper describes an audio watermarking using Quantization Index Modulation (QIM) on significant peaks in frequency domain. The audio signal is broken up into L samples length frames with non-overlapping and rectangular window. The zero-crossing rate of each frame is calculated for decision whether it is proper to be watermarked or not. If the frame is legitimate, frequency magnitude response is computed by discrete Fourier transform. For the QIM, we set the quantization step size based on maximum value of frequency magnitude response and select n significant peaks with w samples around them in frequency domain, totally $n{\times}(w+1)$ samples. Finally, watermark embedding is performed. Decoder extract watermarks based on Euclidean distance, that is a blind detection. The proposed method is robust against many attacks of watermark benchmark.

본 논문에서는 주파수 영역에서의 주요 피크를 선정하고, 주파수 크기 응답에 따라 각기 다른 스텝 사이즈를 사용하는 QIM 오디오 워터마킹을 제안한다. 오디오 신호에 대해 사각 윈도우로 오버랩 없이 L샘플을 취하고 영교차율을 통해 해당 프레임에 워터마크 삽입 가능 여부를 판단 후 푸리에 변환을 통해 주파수 영역에서의 크기 응답을 구한다. 프레임 별 주파수 크기 응답의 최대값에 따라 스텝 사이즈를 결정하고 스펙트럼에서 주요 피크 n개를 검출하여 주변 샘플 w개를 포함한 $n{\times}(w+1)$개 샘플에 대해 QIM을 이용하여 워터마크를 삽입한다. 워터마크 검출은 유클리디안 거리 (Euclidean distance)를 이용한 블라인드 검출 방식으로 수행된다. 오디오 워터마크 벤치마킹을 통한 강인성 검증에서 대부분 강인한 특성을 보였다.

Keywords

References

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