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    • Revista IJIMAI
    • 2018
    • vol. 5, nº 3, december 2018
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2018
    • vol. 5, nº 3, december 2018
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    QAM-DWT-SVD Based Watermarking Scheme for Medical Images

    Autor: 
    Ayad, Habib
    ;
    Khalil, Mohammed
    Fecha: 
    12/2018
    Palabra clave: 
    security; watermarking; discrete wavelet transforms; medical images; singular value decomposition; quadrature amplitude modulation; arnold transform; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12387
    DOI: 
    http://doi.org/10.9781/ijimai.2018.01.001
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2647
    Open Access
    Resumen:
    This 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.
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