An image-adaptive watermark based on a redundant wavelet transform

Cao, Jian; Fowler, James E.; Younan, N.H.

doi:10.1109/icip.2001.958478

Cited by 45 publications

(11 citation statements)

References 7 publications

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“…There, (27) is the keystone of a derivation that shows that multiple-phase motion compensation in the RDWT domain substantially outperforms an equivalent single-phase process, the inverse RDWT providing substantial reduction of the variance of the motion-compensation prediction residual as indicated by (27). Additionally, we suspect that the results here have analytical ramifications for RDWT-domain watermarking such as we previously considered in [15,16]; we are currently investigating this issue.…”

mentioning

confidence: 76%

The redundant discrete wavelet transform and additive noise

Fowler¹

2005

IEEE Signal Process. Lett.

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271

148

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Abstract-The behavior under additive noise of the redundant discrete wavelet transform (RDWT), a frame expansion that is essentially an undecimated discrete wavelet transform, is studied. Known prior results in the form of inequalities bound distortion energy in the original signal domain from additive noise in frame-expansion coefficients. In this paper, a precise relationship between RDWT-domain and original-signal-domain distortion for additive white noise in the RDWT domain is derived.Index Terms-redundant wavelet transform, frame expansion, additive noise

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confidence: 76%

The redundant discrete wavelet transform and additive noise

Fowler¹

2005

IEEE Signal Process. Lett.

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271

148

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“…Watermarking has been widely used to determine whether a set of data are genuine . For example, Feng and Potkonjak developed the watermarking techniques using cryptographically encoded authorship signatures.…”

Section: Related Workmentioning

confidence: 99%

An integrated detection system against false data injection attacks in the Smart Grid

Griffith

et al. 2014

Security Comm Networks

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The Smart Grid is a new type of power grid that will use advanced communication network technologies to support more efficient energy transmission and distribution. The grid infrastructure was designed for reliability; but security, especially against cyber threats, is also a critical need. In particular, an adversary can inject false data to disrupt system operation. In this paper, we develop a false data detection system that integrates two techniques that are tailored to the different attack types that we consider. We adopt anomaly-based detection to detect strong attacks that feature the injection of large amounts of spurious measurement data in a very short time. We integrate the anomaly detection mechanism with a watermarking-based detection scheme that prevents more stealthy attacks that involve subtle manipulation of the measurement data. We conduct a theoretical analysis to derive the closed-form formulae for the performance metrics that allow us to investigate the effectiveness of our proposed detection techniques. Our experimental data show that our integrated detection system can accurately detect both strong and stealthy attacks.

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“…Additive embedding by creating a significance mask. A Gaussian distributed random sequence is used as watermark [6]. Chen Embedding is done in the approximation subband depending on the watermark length via a bit selection algorithm.…”

Section: Wavelet-based Algorithmsmentioning

confidence: 99%

Experimental study on the impact of robust watermarking on iris recognition accuracy

Hämmerle-Uhl

Raab

Uhl

2010

Proceedings of the 2010 ACM Symposium on Applied Computing

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Watermarking has been suggested as a means to improve security of biometric systems or to add additional functionalities to such systems. We experimentally investigate the impact of applying a set of blind robust watermarking schemes on the recognition performance of two iris recognition algorithms. We find that different watermarking schemes result in a very different amount of impact rendering the choice of a particular watermarking scheme an important issue to be considered in the investigated context.

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An image-adaptive watermark based on a redundant wavelet transform

Cited by 45 publications

References 7 publications

The redundant discrete wavelet transform and additive noise

The redundant discrete wavelet transform and additive noise

An integrated detection system against false data injection attacks in the Smart Grid

Experimental study on the impact of robust watermarking on iris recognition accuracy

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