A pseudo-Zernike moment based audio watermarking scheme robust against desynchronization attacks

Wang, Xiangyang; Ma, Tian-xiao; Niu, Panpan

doi:10.1016/j.compeleceng.2011.05.011

Cited by 32 publications

(29 citation statements)

References 17 publications

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“…In Table 4, DYWT represents Dyadic Wavelet Transform. From the results shown in Table 4, it can be concluded that the scheme proposed has many advantages comparing with the schemes, [8,18,[21][22][23].…”

Section: The Ability Of Precisely Tamper Location For the Scheme Propmentioning

confidence: 98%

“…So, desynchronization attack is considered to be one of the most difficult attacks to resist [22]. Most of the schemes robust against desynchronization attacks are based on synchronization code [8,21,22].…”

Section: Shortcomings Of the Scheme Based On Synchronization Codesmentioning

confidence: 99%

“…Based on the analysis in this section, Table 4 gives the comparison of various abilities for some different schemes [8,18,[21][22][23], containing the security and the ability of tamper location precisely, which are denoted by AI and AII, respectively. In Table 4, DYWT represents Dyadic Wavelet Transform.…”

Section: The Ability Of Precisely Tamper Location For the Scheme Propmentioning

confidence: 99%

“…But so far the problem has not been solved well. When it comes to the problem of tamper location, the first method thought is based on synchronization code [8,21,22]. Indeed the method can locate watermarked signal.…”

Section: Introductionmentioning

confidence: 99%

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Tamper recovery algorithm for digital speech signal based on DWT and DCT

Liu

Luo

Huang

et al. 2016

Multimed Tools Appl

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It is a challenging work to design tamper recovery schemes for digital speech signal. Briefly, there are two problems need to be solved. One is that the signals used to tamper recovery are difficult to generate and embed, and the second is that it's hard to tamper location precisely for attacked speech signal. In this paper, compression and reconstruction method based on discrete wavelet transform (DWT) and discrete cosine transform (DCT) is given, to obtain the compressed signals used to tamper recovery. And then frame number and compressed signals are embedded based on block-based method. Attacked signal can be located by frame number, and compressed signals are extracted and used to reconstruct the attacked signal. Theory analysis and experimental results indicate that the scheme proposed not only improves the accuracy of tamper localization, but also can reconstruct the attacked signals.

show abstract

Section: The Ability Of Precisely Tamper Location For the Scheme Propmentioning

confidence: 98%

Section: Shortcomings Of the Scheme Based On Synchronization Codesmentioning

confidence: 99%

Section: The Ability Of Precisely Tamper Location For the Scheme Propmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tamper recovery algorithm for digital speech signal based on DWT and DCT

Liu

Luo

Huang

et al. 2016

Multimed Tools Appl

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show abstract

“…The immunity to noise is better for PZMs. PZMs have been used in face recognition [11], optical character recognition [12],content based image retrieval [13], image watermarking [14], palm print verification [15], audio watermarking [16] etc. Sheng and Shen [17] introduced orthogonal Fourier-Mellin moments (OFMMs).…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis of Rotation Invariance in Moment Coefficients

Ranade¹,

Anand²

2015

IJCA

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Moments can be viewed as powerful image descriptors that capture global characteristics of an image. The magnitude of the moment coefficients is said to be invariant under geometrical transformations like rotation which makes them suitable for most of the recognition applications. But in practice, the invariance of moment coefficients is compromised due to the errors in computation. This paper presents an empirical study of some popularly used moment functions to find out the robust coefficients under rotation. The selected robust coefficients are used in face recognition under in-plane rotation. Experimental results demonstrate that the performance of the proposed method comes at par with the performance of the traditional method by using lesser number of moment coefficients and thus results in significant saving in the feature extraction time.

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An Authentication and Recovery Scheme for Digital Speech Signal Based on DWT

Wang

Liu

et al. 2016

Digital-Forensics and Watermarking

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A pseudo-Zernike moment based audio watermarking scheme robust against desynchronization attacks

Cited by 32 publications

References 17 publications

Tamper recovery algorithm for digital speech signal based on DWT and DCT

Tamper recovery algorithm for digital speech signal based on DWT and DCT

Empirical Analysis of Rotation Invariance in Moment Coefficients

An Authentication and Recovery Scheme for Digital Speech Signal Based on DWT

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