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Robust and Fragile Medical Image Watermarking: A Joint Venture of Coding and Chaos Theories.

Atta-Ur RahmanKiran SultanDhiaa MuslehNahier AldhafferiAbdullah AlqahtaniMaqsood Mahmud
Published in: Journal of healthcare engineering (2018)
A secure spatial domain, hybrid watermarking technique for obtaining watermark (authentication information) robustness and fragility of the host medical image (content integrity) using product codes, chaos theory, and residue number system (RNS) is proposed. The proposed scheme is highly fragile and unrecoverable in terms of the host image, but it is significantly robust and recoverable in terms of the watermark. Altering the medical image may result in misdiagnosis, hence the watermark that may contain patient information and organization logo must be protected against certain attacks. The host medical image is separated into two parts, namely, the region of interest (ROI) and region of noninterest (RONI) using a rectangular region. The RONI part is used to embed the watermark information. Moreover, two watermarks are used: one to achieve authenticity of image and the other to achieve the robustness against both incidental and malicious attacks. Effectiveness in terms of security, robustness, and fragility of the proposed scheme is demonstrated by the simulations and comparison with the other state-of-the-art techniques.
Keyphrases
  • deep learning
  • healthcare
  • randomized controlled trial
  • systematic review
  • health information
  • public health
  • case report
  • monte carlo