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A reversible-zero watermarking scheme for medical images
Rizwan Taj1, Feng Tao2, Saima Kanwal1
1School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China.
Scientific Reports
|July 27, 2024
Summary
This study introduces a novel Reversible-Zero Watermarking technique to protect medical images in telemedicine. The method enhances robustness against unintentional attacks, ensuring image authenticity and copyright protection.
Area of Science:
- Medical Imaging
- Digital Watermarking
- Cybersecurity
Background:
- Telemedicine relies heavily on medical images, necessitating robust methods for authenticity and copyright protection.
- Existing authentication techniques often lack sufficient resilience against unintentional attacks.
- A gap exists in research regarding the robustness of medical image authentication against accidental data corruption.
Purpose of the Study:
- To propose a novel Reversible-Zero Watermarking approach for medical images.
- To enhance the resilience of medical image authentication against unintentional attacks.
- To ensure copyright protection and authenticity in telemedicine applications.
Main Methods:
- A hybrid approach combining zero-watermarking and reversible watermarking techniques.
- Utilizing VGG19-based feature extraction for ownership establishment.
- Employing Discrete Wavelet Transform, Integer Wavelet Transform, and Difference Expansion for reversible embedding.
Main Results:
- The proposed method demonstrates significant improvements over existing techniques.
- High Normalization Correlation (NC) values (around 0.9) and low Bit Error Rate (BER) values (close to 0) were achieved under various attacks.
- The watermarking system proved to be imperceptible, distinguishable, and robust.
Conclusions:
- The Reversible-Zero Watermarking approach offers a robust and secure solution for medical image authentication in telemedicine.
- The system provides persistent verification independent of third-party storage.
- This method is well-suited for safeguarding medical image integrity and ownership.

