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

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dc.contributor.authorStolarek, Jan
dc.contributor.authorLipiński, Piotr
dc.date.accessioned2015-06-03T11:15:59Z
dc.date.available2015-06-03T11:15:59Z
dc.date.issued2010
dc.description.abstractThis 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.en_EN
dc.formatapplication/pdf
dc.identifier.citationJournal of Applied Computer Science., 2010 Vol.18 nr 1 s.61-74
dc.identifier.issn1507-0360
dc.identifier.other0000026682
dc.identifier.urihttp://hdl.handle.net/11652/444
dc.language.isoen
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology. Pressen_EN
dc.relation.ispartofseriesJournal of Applied Computer Science., 2010 Vol.18 nr 1en_EN
dc.titleImproving digital watermarking fidelity using fast neural network for adaptive wavelet synthesis
dc.typeArtykuł

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