2009 First International Workshop on Education Technology and Computer Science 2009
DOI: 10.1109/etcs.2009.699
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Research on DFT Domain Digital Audio Watermarking Algorithm Based on Quantization

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Cited by 6 publications
(5 citation statements)
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“…Watermarking techniques [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] proposed during the last ten to twelve years can be divided into two broad categories, namely the time-domain based group ( [9] [12] [15]) and the transform-domain based group. The transform-domain based works ([1]- [8], [10]- [11], [13] - [14]) mainly use cepstrum domain transform, discrete Fourier or frequency transform (DFT), discrete cosine transform (DCT), discrete wavelet transform (DWT), etc.…”
Section: Related Workmentioning
confidence: 99%
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“…Watermarking techniques [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] proposed during the last ten to twelve years can be divided into two broad categories, namely the time-domain based group ( [9] [12] [15]) and the transform-domain based group. The transform-domain based works ([1]- [8], [10]- [11], [13] - [14]) mainly use cepstrum domain transform, discrete Fourier or frequency transform (DFT), discrete cosine transform (DCT), discrete wavelet transform (DWT), etc.…”
Section: Related Workmentioning
confidence: 99%
“…The transform-domain based works ([1]- [8], [10]- [11], [13] - [14]) mainly use cepstrum domain transform, discrete Fourier or frequency transform (DFT), discrete cosine transform (DCT), discrete wavelet transform (DWT), etc. [1] inserts watermarks into the cepstral components to hide a narrow band signal in a wideband channel.…”
Section: Related Workmentioning
confidence: 99%
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“…Both algorithms proposed in [30,31], need to set optimum value of quantization parameter to make the scheme robust and imperceptible. Another computationally less complex DFT domain-based audio watermarking scheme using quantization was proposed by Tan W. et al [32]. Though, they reduced the mean square error to minimize embedding distortion, they did not provide any criteria to determine the optimal quantization step.…”
Section: Related Workmentioning
confidence: 99%
“…Research interests for watermarking in audio are new compared to that of video [2] and image [7]. The embedding schemes for audio watermarking can be classified either based on domain transformation (time domain-based scheme [8][9][10][11][12] and transform domain-based schemes [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]) or based on the necessity of host signal during extraction (blind schemes and non-blind schemes).…”
Section: Related Workmentioning
confidence: 99%