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Completely Separable Reversible Data Hiding with Increased Embedding Capacity Using Residue Number System

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 380))

Abstract

Separable reversible data hiding techniques facilitate hiding and extraction of data in the encrypted domain. This paper proposes a novel method to embed binary data in an encrypted cover image that provides complete independence of data extraction and covers image recovery. This allows the content owner to retrieve the host signal without any distortion regardless of the embedded data and the data hider to perform lossless extraction of embedded message. The method also provides a high data-embedding capacity using Residue number system (RNS) technique and ensures that only an authorized person can access the contents of the plain image.

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Authors and Affiliations

  1. Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, India

    Geethu Mohan & O. K. Sikha

Authors
  1. Geethu Mohan
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  2. O. K. Sikha
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Corresponding author

Correspondence to Geethu Mohan .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Mohan, G., Sikha, O.K. (2016). Completely Separable Reversible Data Hiding with Increased Embedding Capacity Using Residue Number System. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_43

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  • DOI: https://doi.org/10.1007/978-81-322-2523-2_43

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2522-5

  • Online ISBN: 978-81-322-2523-2

  • eBook Packages: EngineeringEngineering (R0)

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