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Related Experiment Videos

Reversible Watermarking Surviving JPEG Compression.

J Zain1, M Clarke

  • 1School of Information Systems, Computing and Mathematics, Brunel University, Kingston Lane, Uxbridge UB8 3PH, United Kingdom.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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This study introduces a reversible watermarking technique for medical images, ensuring integrity and authenticity. The method remains robust against JPEG compression, even at high compression levels.

Area of Science:

  • Medical Imaging
  • Digital Watermarking
  • Image Compression

Background:

  • Medical image integrity and authenticity are critical for diagnosis and treatment.
  • JPEG compression is widely used but can degrade image quality and compromise embedded information.
  • Existing watermarking schemes may lack robustness against compression artifacts.

Purpose of the Study:

  • To propose a reversible watermarking scheme for medical images.
  • To ensure the integrity and authenticity of medical images.
  • To evaluate the robustness of the proposed scheme against JPEG compression.

Main Methods:

  • A reversible watermarking scheme embedding SHA-256 hash in the Least Significant Bits (LSB) of Region of Non-Interest (RONI) blocks.
  • Utilized 800x600x8 bits ultrasound (US) images for experimentation.

Related Experiment Videos

  • Compressed and decompressed images using JPEG and Adobe Photoshop 6.0.

    • Main Results:

    • The proposed watermarking scheme is reversible.
    • The embedded watermark demonstrated robustness against JPEG compression up to image quality 60 (approximately 91% compression).
    • Successful verification of image integrity by matching extracted watermark with the original image's hash.

    Conclusions:

    • The developed watermarking technique effectively verifies medical image integrity and authenticity.
    • The scheme offers significant robustness against JPEG compression, preserving watermarked data.
    • This method is suitable for applications requiring secure and verifiable medical image transmission and storage.