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Intelligent Techniques in Signal Processing for Multimedia Security pp 133–149Cite as

Comparative Approach Between Singular Value Decomposition and Randomized Singular Value Decomposition-based Watermarking

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 660))

Abstract

Threats and attacks on networks have increased significantly with the recent advancement of technologies. In order to avoid such problems, watermarking techniques was introduced. However, several popular watermarking techniques consume much more time to embed and extract the hidden message. In this current work, a randomized singular value decomposition (rSVD)-based watermarking technique has been proposed in order to avoid such problems. In this work, firstly, the watermark is embedded into the cover image using singular value decomposition, and then the rSVD is employed. Finally, the obtained results were compared to check the time complexity of both methods and to compare the quality of watermarked image and recovered watermarks.

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Author information

Authors and Affiliations

  1. Department of CSE, Bengal College of Engineering and Technology, Durgapur, India

    Sayan Chakraborty & Souvik Chatterjee

  2. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

  4. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

Authors
  1. Sayan Chakraborty
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  2. Souvik Chatterjee
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  3. Nilanjan Dey
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  4. Amira S. Ashour
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  5. Aboul Ella Hassanien
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Corresponding author

Correspondence to Nilanjan Dey .

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Editors and Affiliations

  1. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  2. School of Computing Science and Eng., VIT University School of Computing Science and Eng., Vellore, India

    V. Santhi

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Chakraborty, S., Chatterjee, S., Dey, N., Ashour, A.S., Hassanien, A.E. (2017). Comparative Approach Between Singular Value Decomposition and Randomized Singular Value Decomposition-based Watermarking. In: Dey, N., Santhi, V. (eds) Intelligent Techniques in Signal Processing for Multimedia Security. Studies in Computational Intelligence, vol 660. Springer, Cham. https://doi.org/10.1007/978-3-319-44790-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-44790-2_7

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  • Print ISBN: 978-3-319-44789-6

  • Online ISBN: 978-3-319-44790-2

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