Healthcare information management is facing new challenges as a result of the sizeable amount of medical data that needs to be efficiently stored, accessed, and transmitted as well as the growing number of security threats that need to be specifically addressed. In this paper, a Pseudo Zernike moment (PZM) and Schur decomposition (SD) watermarking scheme based on is suggested. The watermark is inserted in the Schur domain by means of rotation invariance and noise resistance characteristics of the PZM coefficients. In the proposed work, ultrasound image of liver is taken as host image and patient fingerprint is taken as watermark image. The cover is first subjected to the LWT domain to obtain suitable frequency sub-band and the LL sub-band is subjected SD. The coefficient of PZM of Schur matrix are used for embedding of watermark in Schur domain. The presented method offers more than 40 dB peak signal to noise ratio (PSNR) value shows the watermark is not detectable. The proposed method offers better resistance against different affine attacks. The suggested scheme shows improvement of more than 5% than several existing scheme.

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PZMSMark: Pseudo Zernike Moment Based Hiding Scheme for Medical Image in Schur Domain

  • Anurag Tiwari,
  • Vinay Kumar Srivastava

摘要

Healthcare information management is facing new challenges as a result of the sizeable amount of medical data that needs to be efficiently stored, accessed, and transmitted as well as the growing number of security threats that need to be specifically addressed. In this paper, a Pseudo Zernike moment (PZM) and Schur decomposition (SD) watermarking scheme based on is suggested. The watermark is inserted in the Schur domain by means of rotation invariance and noise resistance characteristics of the PZM coefficients. In the proposed work, ultrasound image of liver is taken as host image and patient fingerprint is taken as watermark image. The cover is first subjected to the LWT domain to obtain suitable frequency sub-band and the LL sub-band is subjected SD. The coefficient of PZM of Schur matrix are used for embedding of watermark in Schur domain. The presented method offers more than 40 dB peak signal to noise ratio (PSNR) value shows the watermark is not detectable. The proposed method offers better resistance against different affine attacks. The suggested scheme shows improvement of more than 5% than several existing scheme.