dc.creatorAyad, Habib
dc.creatorKhalil, Mohammed
dc.date.accessioned2022-01-31T11:04:36Z
dc.date.accessioned2023-03-07T19:34:32Z
dc.date.available2022-01-31T11:04:36Z
dc.date.available2023-03-07T19:34:32Z
dc.date.created2022-01-31T11:04:36Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/12387
dc.identifierhttp://doi.org/10.9781/ijimai.2018.01.001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5906684
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.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 5, nº 3
dc.relationhttps://ijimai.org/journal/bibcite/reference/2647
dc.rightsopenAccess
dc.subjectsecurity
dc.subjectwatermarking
dc.subjectdiscrete wavelet transforms
dc.subjectmedical images
dc.subjectsingular value decomposition
dc.subjectquadrature amplitude modulation
dc.subjectarnold transform
dc.subjectIJIMAI
dc.titleQAM-DWT-SVD Based Watermarking Scheme for Medical Images
dc.typearticle


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