Protecting Medical Images Using a Zero-Watermarking Approach Based on Fractional Racah Moments

  • Karim El-Khanchouli
  • , Hanaa Mansouri
  • , Nawal El Ghouate
  • , Hicham Karmouni*
  • , Nour Eddine Joudar
  • , Mhamed Sayyouri
  • , S. S. Askar
  • , Mohamed Abouhawwash
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This article introduces a new family of orthogonal moments, the fractional Racah moments (FrROMs), developed to meet the demands of copyright protection for medical images, a field requiring robust and secure methods that preserve the integrity of the original image. The FrROMs are derived from a matrix of fractional Racah orthogonal polynomials (FrROPs), which in turn are obtained from the matrix of classical Racah polynomials (ROPs) using the spectral decomposition theorem. To compute the ROPs, we enhanced a method for calculating the initial terms of these polynomials to avoid instability issues associated with higher-order ROPs. Subsequently, the FrROMs are used as descriptors for embedding and extracting a zero-watermark. Experimental results demonstrate that the proposed zero-watermarking scheme efficiently leverages the FrROMs, surpassing classical ROMs in terms of robustness and reconstruction capability. This scheme provides strong protection against various image processing attacks while maintaining the original content intact. Compared to existing methods, it stands out for its enhanced robustness and reliability, making a significant contribution to the secure protection of medical images.

Original languageEnglish
Pages (from-to)16978-17001
Number of pages24
JournalIEEE Access
Volume13
DOIs
StatePublished - 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Fractional-order orthogonal moments
  • Racah orthogonal polynomials
  • geometric attacks
  • image processing attacks
  • medical image encryption
  • zero-watermarking

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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