The effect of the random jitter attack on the bit error rate performance of spatial domain image watermarking

Licks, V.; Ourique, F.; Jordan, Ramiro; Pérez-González, Fernando

doi:10.1109/icip.2003.1246715

Cited by 17 publications

(15 citation statements)

References 5 publications

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“…Some studies of desynchronization attacks using the AWGN&J channel model [21]- [23] or not [14] already exist. However, in these works, the desynchronization noise is expressed using the ISI term and is assumed to be uncorrelated with the watermarked signal.…”

Section: Awgnandj Channel Classical Modelmentioning

confidence: 99%

“…Otherwise, capacity would be negative and the watermarking system design meaningless. Details of the resolution are skipped here since a very similar game, where the objective function is the detection probability, will be thoroughly studied in Section V. The resolution gives and (21) Note that in general such that is well satisfied. In addition, the term on the right-hand side of (21) is the achievable capacity if there were no attack (which is that of an AWGN channel with SNR ).…”

Section: A Ideal Costa Schemementioning

confidence: 99%

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Audio watermarking under desynchronization and additive noise attacks

Zaidi

Boyer

Duhamel

2006

IEEE Trans. Signal Process.

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Abstract-Digital watermarking is often modeled as the transmission of a message over a noisy channel denoted as "watermark channel." Distortions introduced by the watermark channel result mainly from attacks and may include interference from the original signal. One of the main differences with classical transmission situations stems from the fact that perceived distortions have to be taken into account. However, measuring the perceived impact an attack has on a watermarked signal is currently an unsolved problem. Possible means of circumventing this problem would be 1) to define the distortion in a so-called "perceived domain" and define an "ad hoc" equivalence between objective and perceived distortion or 2) to define an "equivalent distortion" by removing from the attack noise the part that is correlated to the host signal. This paper concentrates on the second approach and first shows that the resulting "equivalent" attack is a particular case of a thoroughly studied channel: filtering plus additive noise. However, the approach in this paper emphasizes the fact that the additive noise in the model has to be decorrelated with the signal. Then, the formalism is applied to (desynchronization plus noise) attacks on audio signals. In this context, this paper provides the corresponding capacities, as well as optimal "attack" and "defense" strategies in a game theory context.

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Section: Awgnandj Channel Classical Modelmentioning

confidence: 99%

Section: A Ideal Costa Schemementioning

confidence: 99%

Audio watermarking under desynchronization and additive noise attacks

Zaidi

Boyer

Duhamel

2006

IEEE Trans. Signal Process.

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“…Effects of synchronization errors on the bit error rate performance of spatial domain image watermarking is studied in [9]. For that, Random Jitter Attack is considered.…”

Section: Related Workmentioning

confidence: 99%

“…I used a novel local invariant feature transform, named LDFT, which is inspired by the DAISY descriptor. In [9], the concept of the Random Jitter Attack is introduced. This attack is characterized by the displacement of each pixel position by a random amount given by an arbitrary distribution, followed by interpolation over the modified sampling grid.…”

Section: Introductionmentioning

confidence: 99%

An Attack-resistant Watermark Resynchronization Scheme using LDFT and BSP

Meeramol¹,

Nair²

2014

IOSRJCE

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“…an AWGN&J channel is an AWGN channel in which the signal is, in addition to the gaussian noise, randomly sampled. More precisely, the receiver has to decide on th epresence of a watermark based on attacks using the AWGN&J model already exist, [5][6][7]. However, in these works, the desynchronization noise is almost usually considered uncorrelated with the watermarked signal.…”

Section: Awgnandj Channelmentioning

confidence: 99%

A scaled signal plus noise model for digital watermarking. Application to time jitter

Zaidi

Boyer

Duhamel

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.

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Digital watermarking is often modelled as the transmission of a message over a noisy channel denoted as "watermark channel". Distorsions introduced by the watermark channel result mainly from attacks but, depending on the attack, may include interference from the original signal. One of the main differences with classical transmission situations comes from the fact that only perceptual distortions have to be taken into account. However, measuring the perceptual impact an attack has on a watermarked signal is currently an unsolved problem. Possible means of circumventing this problem would be (i) to define the distortion in a socalled "perceptual domain" and defining an "ad hoc" equivalence between objective and perceptual distortion, or (ii) to define an "equivalent distortion", by removing from the attack noise the part that is correlated to the host signal. We concentrate on the second approach, and first show that the resulting "equivalent" attack is a particular case of a throughly studied channel: attacks by filtering plus additive noise. However, our approach emphasises the fact that the additive noise has to be decorrelated with the signal. Finally, the method is applied to desynchronization attacks on audio signals, provides the corresponding capacities, and outlines further work.

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The effect of the random jitter attack on the bit error rate performance of spatial domain image watermarking

Cited by 17 publications

References 5 publications

Audio watermarking under desynchronization and additive noise attacks

Audio watermarking under desynchronization and additive noise attacks

An Attack-resistant Watermark Resynchronization Scheme using LDFT and BSP

A scaled signal plus noise model for digital watermarking. Application to time jitter

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