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Transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy

Transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy

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Rapid progress of digital multimedia content has tremendously improved different forms of information and its processing. New digital technologies help to store, transmit and process the information in a quick and accurate way. However, digital data in the form of videos and images can be effortlessly manipulated and redistributed using the computers. Violation of ownership rights and verifying the integrity of the digital content can be significantly improved by the watermarking approaches. Watermarking algorithms embed additional information for verifying the authenticity and trustworthiness. Security and privacy of medical data in the form of image or other 1-D signals are of prime importance and has become an emerging area in the field of biomedical information technology. Biomedical image watermarking algorithms enable transmission of medical records and patient history in a secure way. The aim of this book chapter is to propose a new watermarking approach using a transform domain for medical image security. Riesz wavelet transform (RWT) and singular value decomposition (SVD) is employed for embedding the watermarking in the cover medical image at the transmitter side. At the receiver, the embedded information is recovered successfully using the watermarking extraction algorithm. The RWT-SVD algorithm is tested on different types of medical images like X-ray, CT scan, MRI and retinal images. The watermark is extracted at the receiver without the original image. Imperceptibility evaluation using several metrics (SNR, PSNR, WPSNR, SSIM, MSSIM, SC) shows the improved performance of the proposed approach. In addition to this, robustness analysis is also carried in terms of correlation coefficient.

Chapter Contents:

  • 13.1 Introduction
  • 13.2 Background work
  • 13.3 Proposed medical image watermarking algorithm using RWT
  • 13.3.1 Watermark embedding steps
  • 13.3.2 Watermark extraction steps
  • 13.4 RWT and SVD
  • 13.4.1 Generalized Riesz wavelet transform (GRWT)
  • 13.4.2 Singular value decomposition
  • 13.5 Simulation results and discussions
  • 13.6 Conclusion
  • References

Inspec keywords: data encapsulation; image coding; singular value decomposition; wavelet transforms; image watermarking; medical image processing

Other keywords: biomedical image watermarking algorithms; medical image security; RWT-SVD algorithm; watermarking extraction algorithm; authenticity; robustness analysis; trustworthiness; transform domain robust watermarking method; digital content; medical images; singular value decomposition; retinal images; cover medical image; Riesz wavelet transform; watermarking approach; digital multimedia content; medical data security; medical records; digital data; ownership rights; biomedical information technology; digital technologies; medical data privacy; embedded information

Subjects: Patient diagnostic methods and instrumentation; Function theory, analysis; Computer vision and image processing techniques; Medical and biomedical uses of fields, radiations, and radioactivity; health physics; Algebra, set theory, and graph theory; Biology and medical computing; Algebra; Data security; Image and video coding; Integral transforms; Algebra; Biomedical measurement and imaging; Integral transforms

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