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dc.contributor.authorAyad, Habib
dc.contributor.authorKhalil, Mohammed
dc.date2018-12
dc.date.accessioned2022-01-31T11:04:36Z
dc.date.available2022-01-31T11:04:36Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12387
dc.description.abstractThis paper presents a new semi-blind image watermarking system for medical applications. The new scheme utilizes Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to embed a textual data into original medical images. In particular, text characters are encoded by a Quadrature Amplitude Modulation (QAM-16). In order to increase the security of the system and protect then the watermark from several attacks, the embedded data is submitted to Arnold Transform before inserting it into the host medical image. To evaluate the performances of the scheme, several medical images have been used in the experiments. Simulation results show that the proposed watermarking system ensures good imperceptibility and high robustness against several attacks.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 5, nº 3
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2647es_ES
dc.rightsopenAccesses_ES
dc.subjectsecurityes_ES
dc.subjectwatermarkinges_ES
dc.subjectdiscrete wavelet transformses_ES
dc.subjectmedical imageses_ES
dc.subjectsingular value decompositiones_ES
dc.subjectquadrature amplitude modulationes_ES
dc.subjectarnold transformes_ES
dc.subjectIJIMAIes_ES
dc.titleQAM-DWT-SVD Based Watermarking Scheme for Medical Imageses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2018.01.001


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