• DocumentCode
    2674862
  • Title

    Adaptive data hiding scheme for medical images using integer wavelet transform

  • Author

    Memon, Nisar Ahmed ; Gilani, Syed Asif Mehmood

  • Author_Institution
    Fac. of Comput. Sci. & Eng., Ghulam Ishaq Khan Inst., Swabi, Pakistan
  • fYear
    2009
  • fDate
    19-20 Oct. 2009
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Digital medical images are very easy to be modified for illegal purposes. For example malignant nodules on lung parenchyma in chest CT scan images is an important diagnostic clue, and it can be wiped of intentionally for insurance purposes or added intentionally into chest CT scan images. In this paper we propose multiple watermarking method for authentication of medical images. CT scan images have been chosen for testing the algorithm. In order to achieve high imperceptibility, data embedding technique based on adaptive data hiding method in wavelet domain has been implemented. Experimental results show that the proposed scheme outperforms the prior works in terms of PSNR and MSE.
  • Keywords
    computerised tomography; data encapsulation; image coding; medical image processing; watermarking; wavelet transforms; adaptive data hiding; chest CT scan image; data embedding; digital medical image; integer wavelet transform; lung parenchyma; malignant nodule; medical image authentication; watermarking; Authentication; Biomedical imaging; Cancer; Computed tomography; Data encapsulation; Insurance; Lungs; Medical diagnostic imaging; Watermarking; Wavelet transforms; BCH encryption; CT Scan images; Data Authentication; Electronic Patient Record; Intger Wavelet Transform; Medical Image Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2009. ICET 2009. International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-5630-7
  • Electronic_ISBN
    978-1-4244-5631-4
  • Type

    conf

  • DOI
    10.1109/ICET.2009.5353172
  • Filename
    5353172