Mean Square Error Optimization to Authenticate Multi-Modality Medical Images in Wavelet Domain

  • Authors

    • S K. Jayanthi
    • K Sridevi
    2018-08-15
    https://doi.org/10.14419/ijet.v7i3.27.17890
  • Authentication, genetic algorithm, imperceptibility, robustness, rounding error.
  • Medical image watermarking which hides patient’s information in the medical image ensures its imperceptibility and at the same time provides robustness to the information that is embedded. Current research scenario embeds the authenticated message as watermark in the frequency domain to get watermarked image which has most of its values as real numbers. Since pixel intensity values must be represented as integers, the watermarked image is converted into spatial domain where the rounding error problem occurs and the embedded message cannot be extracted to prove its authenticity. In proposed work, a new watermarking scheme in Discrete Wavelet Transform (DWT) domain based on Genetic Algorithm (GA) is implemented to ensure correct retrieval of embedded watermark by optimizing Mean Square Error (MSE) measure.

     

     

  • References

    1. [1] Mousavi SM, Naghsh A & Abu-Bakar SAR, “Watermarking techniques used in medical images: a surveyâ€, Journal of digital imaging, Vol.27, No.6, (2014), pp.714-729.

      [2] Mohananthini N & Yamuna G, “Comparison of multiple watermarking techniques using genetic algorithmsâ€, Journal of Electrical Systems and Information Technology, Vol.3, No.1, (2016), pp.68-80.

      [3] Sridevi T & Fathima SS, “Watermarking algorithm based using genetic algorithm and HVSâ€, International Journal of Computer Applications, Vol.74, No.13, (2013), pp.26-30.

      [4] Ziabari SSM, Atani RE, Keyghobad K & Riazi A, “The optimized image watermarking using genetic algorithmâ€, Current trends in technology and science, Vol.2, No.6, (2013), pp.359-363.

      [5] Roy R & Laha S, “Optimization of Stego Image retaining secret information using Genetic Algorithm with 8-connected PSNRâ€, Procedia Computer Science, Vol.60, (2015), pp. 468-477.

      [6] Venkatesan D, Kannan K & Balachandar SR, “Optimization of Fidelity in Digital Image Watermarking Using a New Genetic Algorithmâ€, Applied Mathematical Sciences, Vol.6, No.73, (2012), pp.3607-3614.

      [7] Abdullatif M, Zeki AM & Chebil J, “Wavelet Watermarking on Medical Imagesâ€, Proc of the International Conference on Artificial Intelligence in Computer Science, Malaysia, (2013), pp.147-156.

      [8] Anwar MJ, Ishtiaq M, Iqbal MA & Jaffar MA, “Block-based digital image watermarking using Genetic Algorithmâ€, IEEE 6th International Conference on Emerging Technologies (ICET), (2010), pp.204-209.

      [9] Shih FY, Digital watermarking and steganography: fundamentals and techniques, CRC press, (2017).

      [10] G, Abikhanova, A Ahmetbekova, E Bayat, A Donbaeva, G Burkitbay (2018). International motifs and plots in the Kazakh epics in China (on the materials of the Kazakh epics in China), Opción, Año 33, No. 85. 20-43.

      [11] A Mukanbetkaliyev, S Amandykova, Y Zhambayev, Z Duskaziyeva, A Alimbetova (2018). The aspects of legal regulation on staffing of procuratorial authorities of the Russian Federation and the Republic of Kazakhstan Opción, Año 33. 187-216.

  • Downloads

  • How to Cite

    K. Jayanthi, S., & Sridevi, K. (2018). Mean Square Error Optimization to Authenticate Multi-Modality Medical Images in Wavelet Domain. International Journal of Engineering & Technology, 7(3.27), 265-269. https://doi.org/10.14419/ijet.v7i3.27.17890