Evidence map›Paper›PMID 39122777›Full record

ArticleScientific reports2024

An improved reversible watermarking scheme using embedding optimization and quaternion moments.

Mohamed Amine Tahiri, Hicham Karmouni, Mhamed Sayyouri, Hassan Qjidaa, Musheer Ahmad, Mohamed Hammad, Paweł Pławiak, Osama Alfarraj, Ahmed A Abd El-Latif

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mohamed Amine TahiriEngineering, Systems and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Hicham KarmouniNational School of Applied Sciences, Cadi Ayyad University, 40000, Marrakech, Morocco.
Mhamed SayyouriEngineering, Systems and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Hassan QjidaaLaboratory of Electronic Signals and Systems of Information, Sidi Mohamed Ben Abdellah-Fez University, Fez, Morocco.
Musheer AhmadDepartment of Computer Engineering, Jamia Millia Islamia, New Delhi, 110025, India.
Mohamed HammadDepartment of Information Technology, Faculty of Computers and Information, Menoufia University, Shibin El Kom, 32511, Egypt.
Paweł PławiakDepartment of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Warszawska 24, 31-155, Krakow, Poland.
Osama AlfarrajComputer Science Department, Community College, King Saud University, 11437, Riyadh, Saudi Arabia.
Ahmed A Abd El-LatifJadara University Research Center, Jadara University, Irbid, Jordan. a.rahiem@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital watermarking of images is an essential method for copyright protection and image security. This paper presents an innovative, robust watermarking system for color images based on moment and wavelet transformations, algebraic decompositions, and chaotic systems. First, we extended classical Charlier moments to quaternary Charlier moments (QCM) using quaternion algebra. This approach eliminates the need to decompose color images before applying the discrete wavelet transform (DWT), reducing the computational load. Next, we decompose the resulting DWT matrix using QR and singular value decomposition (SVD). To enhance the system's security and robustness, we introduce a modified version of Henon's 2D chaotic map. Finally, we integrate the arithmetic optimization algorithm to ensure dynamic and adaptive watermark insertion. Our experimental results demonstrate that our approach outperforms current color image watermarking methods in security, storage capacity, and resistance to various attacks, while maintaining a high level of invisibility.

Indexed as

Digital image watermarkingHenon chaotic mapOptimization algorithmQuaternion moments

Identifiers

PMID39122777
PMCPMC11315939

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.