Medical Image Watermarking Techniques in the Transform Domain: A Review

Authors

  • Kouadri Ali University of Djelfa
  • Benziane Ali University of Djelfa
  • Rabehi Abdelhalim University of Djelfa

DOI:

https://doi.org/10.59287/as-proceedings.614

Keywords:

Security Threats, Robustness, Imperceptibility, Capacity, Transform Domain, Medical Image Watermarking

Abstract

In today's medical field, the sharing of medical images among healthcare professionals is crucial for improving patient care and efficient handling of medical data. These images are often transmitted across unsecured networks, making them vulnerable to security breaches where attackers could alter, steal, or destroy vital information. Any tampering with medical records could lead to misdiagnoses, potentially endangering patients' lives. This situation underscores the urgent need for robust security measures that guarantee confidentiality, availability, and integrity, including authenticity. One increasingly popular solution to protect patient data against such threats is the use of watermarking techniques. These techniques vary in their approaches, categorized by aspects like robustness, invisibility, capacity, and the type of transform domain used. Transform domain watermarking methods are particularly noted for their high resistance to attacks while maintaining the watermark's invisibility. In this review, we explore a variety of transform domain watermarking techniques specifically designed for medical images. Additionally, we provide a comparative analysis of different kinds of transform domains commonly employed in medical image watermarking.

Author Biographies

Kouadri Ali, University of Djelfa

Telecommunications and Smart Systems Laboratory, Faculty of Sciences and Technologies, Algeria

Benziane Ali, University of Djelfa

Telecommunications and Smart Systems Laboratory, Faculty of Sciences and Technologies,  Algeria

Rabehi Abdelhalim, University of Djelfa

Telecommunications and Smart Systems Laboratory, Faculty of Sciences and Technologies, Algeria

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Published

2023-12-25

How to Cite

Ali, K., Ali, B., & Abdelhalim, R. (2023). Medical Image Watermarking Techniques in the Transform Domain: A Review. AS-Proceedings, 1(7), 120–129. https://doi.org/10.59287/as-proceedings.614