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A novel intelligent approach for color image privacy preservation

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Abstract

Currently, specialists and researchers are focusing their efforts on information security, while frequently exchanged data is increasingly vulnerable to cyberattacks and threats. They use cryptography and watermarking methods to ensure copyright ownership protection, authenticity and integrity by hiding secret data within encrypted images. Most existing watermarking schemes are unable to ensure a good balance between imperceptibility, robustness, time processing, blindness and security. To address these problems, we propose a novel blind watermarking scheme for color images based on chaotic sequence, A-start algorithm and DCT. First, we apply DCT transform on the host image to produce DCT weights. The image block sequences are then slightly updated and scrambled from the obtained DCT weights using A-start algorithm and Arnold chaotic map. Finally, the embedded bits are extracted using the same embedding steps. Optimized image block sequences result in imperceptible, secure and robust watermark bits while reducing processing time. Experimental results show that the proposed approach outperforms other similar works when it comes to imperceptibility exceeding 74 dB and execution time less than 1.5 s for both watermark embedding and extraction. It has exceptional robustness to filtering, rotation and JPEG compression attacks with normalized correlations exceeding 0.8.

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Data availability

The datasets analyzed during this research study are publicly accessible. http://tabby.vision.mcgill.ca/html/browsedownload.html.

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Acknowledgements

The researchers would like to thank the Deanship of Scientific Research, Qassim University for funding the publication of this project.

Funding

No external funding was received to conduct this study.

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Authors and Affiliations

  1. University Center Cheikh Amoud Ben Moukhtar, Illizi, 33000, Algeria

    Abdallah Soualmi

  2. Department of Management Information Systems & Production Management, College of Business and Economics, Qassim University, Buraydah, Kingdom of Saudi Arabia

    Lamri Laouamer & Adel Alti

  3. Faculty of Sciences, Computer Science Department, LRSD, University Ferhat Abbas Sétif 1, Sétif, Algeria

    Adel Alti

Authors
  1. Abdallah Soualmi
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  2. Lamri Laouamer
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  3. Adel Alti
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Correspondence to Adel Alti.

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Soualmi, A., Laouamer, L. & Alti, A. A novel intelligent approach for color image privacy preservation. Multimed Tools Appl 83, 79481–79502 (2024). https://doi.org/10.1007/s11042-024-19402-6

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  • DOI: https://doi.org/10.1007/s11042-024-19402-6

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