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Improved PVO and PEE for Information Hiding in Digital Media

In: Leveraging Emerging Technologies and Analytics for Empowering Humanity, Vol. 1

Author

Listed:
  • Venkatesh Daramalla

    (Chaitanya Bharathi Institute of Technology (CBIT))

  • Ravi Uyyala

    (Chaitanya Bharathi Institute of Technology (CBIT))

  • R. Ravinder Reddy

    (Chaitanya Bharathi Institute of Technology (CBIT))

  • Debasis Guha

    (Dr. B. C. Roy Engineering College)

Abstract

This innovative reversible data-hiding algorithm ensures that The starting image could transform inton entirely restored by not visible distortion once the hidden data is extracted. The project specifically targets Invisible data infusion with reversible restoration utilizing advanced techniques like Improved Pixel Value Ordering and Pairwise PEE. This project, which covers photos, undergoes initial segmentation into a non-overlapping block of uniform size. Subsequently, within every block, pixels value an organized in increasing sequence. Using this ordered sequence, the second biggest or small pixels value predicts the large or small values, respectively, yielding two distinct prediction errors. These errors are subsequently utilized to construct the data embedding process for each block, ensuring effective concealment of information within the image. The system embeds secret data into images while ensuring high visual quality, offering a comprehensive performance evaluation. This method can be applied to various business applications where information hiding plays a crucial role.

Suggested Citation

  • Venkatesh Daramalla & Ravi Uyyala & R. Ravinder Reddy & Debasis Guha, 2025. "Improved PVO and PEE for Information Hiding in Digital Media," Springer Proceedings in Business and Economics, in: D P Goyal & Suprateek Sarker & Somnath Mukhopadhyay & Basav Roychoudhury & Parijat Upadhyay & Pradee (ed.), Leveraging Emerging Technologies and Analytics for Empowering Humanity, Vol. 1, chapter 2, pages 45-65, Springer.
    • Handle: RePEc:spr:prbchp:978-981-96-2548-2_2
    DOI: 10.1007/978-981-96-2548-2_2
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