Improving digital watermarking fidelity using fast neural network for adaptive wavelet synthesis

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Data

2010

Tytuł czasopisma

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Wydawca

Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology. Press

Abstrakt

This paper introduces a new adaptive algorithm for digital watermark embedding in wavelet domain. The proposed algorithm performs adaptive mother wavelet synthesis based on a low frequency component energy maximization. The algorithm is based on an orthogonal neural network. We demonstrate that the presented adaptive method can improve both the correlation between an extracted watermark and an embedded watermark, as well as the fidelity of an image. The proposed algorithm is applied to improve well known wavelet based embedding algorithms.

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Cytowanie

Journal of Applied Computer Science., 2010 Vol.18 nr 1 s.61-74