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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:
Khalied Mohamed Hosny
Staff Zu Site
Abstract In Staff Site
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
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Khalied Mohamed Hosny, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022
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Khalied Mohamed Hosny, "Fast computation of accurate Zernike moments", Springer, 2008
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Khalied Mohamed Hosny, "Accurate Computation of QPCET for Color Images in Different Coordinate Systems", SPIE, 2017
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Ehab Roshdy Mohamed, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
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