The growing volume of medical data that needs to be efficiently stored, accessed, and shared, combined with the rising number of security threats requiring proper mitigation, is complicating healthcare information management. This study proposes a watermarking (Wmarking) strategy based on multiple decomposition and RDWT to embed the patient information into 2-D ECG image. The multiple decomposition provides better invisibility of watermarks (Wmark) in watermarked (Wmarked) image and RDWT provides better robustness against different attacks. In the proposed method, the patient ECG image is taken as cover image whereas the two Wmarks; ‘logo’ and ‘Fingerprint’ of patient are taken as Wmark image. The proposed method offers more than 80 dB PSNR value which reflects that the embedded Wmark is undetectable. Both the Wmark images are extracted successfully and the archived NCC value is near to 1.0000. The proposed method offer more than 15% improvement in the performance as compared to existing state of art methods.

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MECGWmark: Multiple ECG Watermarking Scheme in RDWT Domain Using Dual Decomposition for Smart Healthcare Application

  • Anurag Tiwari,
  • Vinay Kumar Srivastava

摘要

The growing volume of medical data that needs to be efficiently stored, accessed, and shared, combined with the rising number of security threats requiring proper mitigation, is complicating healthcare information management. This study proposes a watermarking (Wmarking) strategy based on multiple decomposition and RDWT to embed the patient information into 2-D ECG image. The multiple decomposition provides better invisibility of watermarks (Wmark) in watermarked (Wmarked) image and RDWT provides better robustness against different attacks. In the proposed method, the patient ECG image is taken as cover image whereas the two Wmarks; ‘logo’ and ‘Fingerprint’ of patient are taken as Wmark image. The proposed method offers more than 80 dB PSNR value which reflects that the embedded Wmark is undetectable. Both the Wmark images are extracted successfully and the archived NCC value is near to 1.0000. The proposed method offer more than 15% improvement in the performance as compared to existing state of art methods.