Full-Index-Embedding Patchwork Algorithm for Audio Watermarking

Kang, Hyunho; Yamaguchi, K.; Kurkoski, Brian M.; Yamaguchi, Kazuya; Kobayashi, K.

doi:10.1093/ietisy/e91-d.11.2731

Cited by 35 publications

(18 citation statements)

References 6 publications

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“…In this section, the suggested scheme is compared with other self-synchronised [8,26] and not self-synchronised [7,29,10] methods. Table 5 shows the capacity and SNR results of the suggested scheme and the selected methods.…”

Section: Comparison With Other Schemesmentioning

confidence: 99%

Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification

2010

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Many audio watermarking schemes divide the audio signal into several blocks such that part of the watermark is embedded into each of them. One of the key issues in these block-oriented watermarking schemes is to preserve the synchronisation, i.e. to recover the exact position of each block in the mark recovery process. In this paper, a novel time domain synchronisation technique is presented together with a new blind watermarking scheme which works in the Discrete Fourier Transform (DFT or FFT) domain. The combined scheme provides excellent imperceptibility results whilst achieving robustness against typical attacks. Furthermore, the execution of the scheme is fast enough to be used in real-time applications. The excellent transparency of the embedding algorithm makes it particularly useful for professional applications, such as the embedding of monitoring information in broadcast signals. The scheme is also compared with some recent results of the literature.

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Section: Comparison With Other Schemesmentioning

confidence: 99%

Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification

2010

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“…Considering a trade-off between capacity, transparency and robustness is the main challenge for audio watermarking applications. auditory system (HAS) and different transforms, resulting in various techniques such as embedding algorithms based on low-bit coding, echo, patchwork [3], rational dither modulation [4], Fourier transform [5,6], quantization [7,8,10] and the wavelet transform [9,11].…”

Section: Introductionmentioning

confidence: 99%

High capacity audio watermarking using the high frequency band of the wavelet domain

Fallahpour

Megías

2010

Multimed Tools Appl

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This paper proposes a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition at which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and, for embedding, to change the wavelet samples depending on the average of relevant frame's samples. The experimental results show that the method has a very high capacity (about 11,000 bps), without significant perceptual distortion 0] and SNR about 30dB), and provides robustness against common audio signal processing such as add noise, filtering, echo and MPEG compression (MP3).

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“…The watermark has to be imperceptible to preserve the original signal quality and robust to signal processing operations such as: filtering, compression, resampling, noise corruption, etc., which are classical no-intentional attacks against watermarking schemes. Several schemes for watermarking embedding and detection of watermarks in audio sequences have been proposed, where the main used techniques are spread spectrum [2], echo [3], patchwork [4], rational dither modulation [5] and interpolation [6]. In order to keep the perceptual transparency, these techniques take into consideration the properties of the Human Auditory System (HAS).…”

Section: Introductionmentioning

confidence: 99%

Improving the security of Fallahpour's audio watermarking scheme

García-Hernández

Feregrino-Uribe

Cumplido

et al. 2010

IEICE Electron. Express

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Abstract:The audio watermarking scheme recently proposed by Fallahpour in [1] is one of the schemes with highest payload published to date. In this letter a key-based security improvement is proposed for that scheme. It is achieved by adding a Pseudo-Random Number Sequence (PRNS) in the frequency domain to the data samples, before applying the insertion algorithm. Experimental results show that the proposed enhancement keeps the perceptual transparency and the robustness to all attacks originally reported by Fallahpour's scheme and the payload is not significantly affected. Keywords: watermarking, spline interpolation, audio signals, keybased security Classification: Science and engineering for electronics References[1] M. Fallahpour and D. Megias, "High capacity audio watermarking using fft amplitude interpolation,"

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Full-Index-Embedding Patchwork Algorithm for Audio Watermarking

Cited by 35 publications

References 6 publications

Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification

Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification

High capacity audio watermarking using the high frequency band of the wavelet domain

Improving the security of Fallahpour's audio watermarking scheme

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