A RONI Based Visible Watermarking Approach for Medical Image Authentication.

Nowadays medical data in terms of image files are often exchanged between different hospitals for use in telemedicine and diagnosis. Visible watermarking being extensively used for Intellectual Property identification of such medical images, leads to serious issues if failed to identify proper regio...

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Publicado en:Journal of Medical Systems Vol. 41; no. 9; pp. 1 - 12
Autores principales: Thanki, Rohit, Borra, Surekha, Dwivedi, Vedvyas, Borisagar, Komal
Formato: diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Sep2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2017
      vid: 41
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      pub: Springer Nature
      place: New York, New York
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        atl: A RONI Based Visible Watermarking Approach for Medical Image Authentication.
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          Thanki, Rohit
          Borra, Surekha
          Dwivedi, Vedvyas
          Borisagar, Komal
        affil: C. U. Shah University , City Wadhwan India
      sug:
        subj:
          Data Collection
          Diagnostic Imaging
          Medicine
          Systems Validation
          Telemedicine
          Tomography, X-Ray Computed
          Physicians
          Magnetic Resonance Imaging
          Ultrasonography
      ab: Nowadays medical data in terms of image files are often exchanged between different hospitals for use in telemedicine and diagnosis. Visible watermarking being extensively used for Intellectual Property identification of such medical images, leads to serious issues if failed to identify proper regions for watermark insertion. In this paper, the Region of Non-Interest (RONI) based visible watermarking for medical image authentication is proposed. In this technique, to RONI of the cover medical image is first identified using Human Visual System (HVS) model. Later, watermark logo is visibly inserted into RONI of the cover medical image to get watermarked medical image. Finally, the watermarked medical image is compared with the original medical image for measurement of imperceptibility and authenticity of proposed scheme. The experimental results showed that this proposed scheme reduces the computational complexity and improves the PSNR when compared to many existing schemes.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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