Reversible Color Image Watermarking Using Fractional-Order Polar Harmonic Transforms and a Chaotic Sine Map

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages: 6121–6145
Authors:
Journal: Circuits, Systems, and Signal Processing Springer Volume:
Keywords : Reversible Color Image Watermarking Using Fractional-Order    
Abstract:
Watermarking of digital images is a well-known technique that is widely used for securing image contents. A successful watermarking method must be accurate, reversible, resilient, and robust against various attacks. In this paper, we propose a reversible and robust color image watermarking method. A new set of multi-channel fractional-order polar harmonic transforms and their geometric invariants have been derived. These highly accurate and geometrically invariant features are used in the watermarking process. The binary watermark’s bits were scrambled using a 1D chaotic sine map to increase the security level. A set of experiments were performed to evaluate the proposed watermarking method, and its performance was compared with recent color image watermarking methods having similar colors. The obtained results showed high visual imperceptibility and superior robustness against geometric and signal processing attacks.
   
     
 
       

Author Related Publications

  • Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020 More
  • Khalied Mohamed Hosny, "Building a New Semantic Social Network Using Semantic Web-Based Techniques", ِASPG, 2021 More
  • Khalied Mohamed Hosny, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022 More
  • Khalied Mohamed Hosny, "Fast computation of accurate Zernike moments", Springer, 2008 More
  • Khalied Mohamed Hosny, "Accurate Computation of QPCET for Color Images in Different Coordinate Systems", SPIE, 2017 More

Department Related Publications

  • Khalied Mohamed Hosny, "A kernel-based method for fast and accurate computation of PHT in polar coordinates", Springer, 2019 More
  • Khalied Mohamed Hosny, "Classification of skin lesions using transfer learning and augmentation with Alex-net", PLOS ONE, 2019 More
  • Khalied Mohamed Hosny, "Feature Extraction of Color Images Using Quaternion Moments", Springer, 2019 More
  • Khalied Mohamed Hosny, "An efficient retrieval system for biomedical images based on radial associated laguerre moments", IEEE, 2020 More
  • Khalied Mohamed Hosny, "CUDAQuat : new parallel framework for fast computation of quaternion moments for color images applications", Springer, 2021 More
Tweet