Analyses of error correction strategies for typical communication channels in watermarking

Baudry, Séverine; Delaigle, Jean-François; Sankur, B.; Macq, Benoı̂t; Maître, H.

doi:10.1016/s0165-1684(01)00041-x

Cited by 40 publications

(32 citation statements)

References 10 publications

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“…This would result in an even better guarantee for imperceptibility of the watermark. Finally, synchronisation [62] and error correction [63], along with investigation of multiplecolumn embedding, will be incorporated into the proposed scheme to improve its performance. The security of the scheme will also be explored by using cryptographic techniques [64] so that it can be deployed in environments where audio security is a paramount concern.…”

Section: Resultsmentioning

confidence: 99%

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

2011

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a b s t r a c tThis paper presents a blind audio watermarking algorithm based on the reduced singular value decomposition (RSVD). A new observation on one of the resulting unitary matrices is uncovered. The proposed scheme manipulates coefficients based on this observation in order to embed watermark bits. To preserve audio fidelity a thresholdbased distortion control technique is applied and this is further supplemented by distortion suppression utilizing psychoacoustic principles. Test results on real music signals show that this watermarking scheme is in the range of imperceptibility for human hearing, is accurate and also robust against MP3 compression at various bit rates as well as other selected attacks. The data payload is comparatively high compared to existing audio watermarking schemes.

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Section: Resultsmentioning

confidence: 99%

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

2011

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“…In other words, in the absence of any attack, the information payload with LDPC protection is approximately twice that achievable under BCH codes and 2.7 times higher using simple repetition. The repetition coding is known to constitute the ultimate resort against channel distortion for very low SNR values [1]. There exists a crossover point, at which a code ceases to be useful and repetition code takes over.…”

Section: Simulation Results and Conclusionmentioning

confidence: 99%

“…Watermarking systems have been modeled as a digital communications system in [1] as illustrated in Fig. 1.…”

mentioning

confidence: 99%

Improving the Payload of Watermarking Channels via LDPC Coding

Bastug

Sankur

2004

IEEE Signal Process. Lett.

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Abstract-The payload increase of watermarking channels via the use of low-density parity check (LDPC) codes is considered. The bit error rate and payload size problem is addressed in the light of the performance of typical transform-domain spread-spectrum watermarking techniques. Simulation results indicate that the information payload can be doubled via judicious use of LDPC codes vis-à-vis the performance of the BoseChaudhuri-Hochquenghem and repetition codes.

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“…We have chosen to consider convolutional coding associated with soft decision Viterbi decoding. The significant superiority of this ECC for watermarking application was highlighted by Baudry et al [13] within the field of 2D image.…”

Section: Message Sequence Generationmentioning

confidence: 93%

A Watermarking Framework for Subdivision Surfaces

Lavoué¹,

Denis²,

Dupont³

et al. 2006

Multimedia Content Representation, Classification and Security

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Abstract. This paper presents a robust watermarking scheme for 3D subdivision surfaces. Our proposal is based on a frequency domain decomposition of the subdivision control mesh and on spectral coefficients modulation. The compactness of the cover object (the coarse control mesh) has led us to optimize the trade-off between watermarking redundancy (which insures robustness) and imperceptibility by introducing two contributions: (1) Spectral coefficients are perturbed according to a new modulation scheme analyzing the spectrum shape and (2) the redundancy is optimized by using error correcting codes. Since the watermarked surface can be attacked in a subdivided version, we have introduced a so-called synchronization algorithm to retrieve the control polyhedron, starting from a subdivided, attacked version. Through the experiments, we have demonstrated the high robustness of our scheme against both geometry and connectivity alterations.

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Analyses of error correction strategies for typical communication channels in watermarking

Cited by 40 publications

References 10 publications

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

Improving the Payload of Watermarking Channels via LDPC Coding

A Watermarking Framework for Subdivision Surfaces

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