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Comparative Analysis of Prominent Watermarking Algorithms

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 32))

Abstract

Invisible digital image watermarking is one of the most effective and protected methods for obviating prohibited copying of digital media. Several research papers have explored watermarking techniques in various domains. In this paper, we carried out experimental analysis to assess the robustness and performance analysis of popular, efficient, secure, and robust invisible digital image watermarking techniques using singular value decompositions (SVD), discrete cosine transform (DCT), discrete wavelet transform (DWT). The experimental and theoretical analysis of different comparative watermarking algorithms in terms of quality of watermarked images and the capability to protect the embedded watermarks in toughest situations demarcates the conclusion of the paper.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Jamal Mohamed College, Bharathidasan University, Tiruchirapalli, Tamil Nadu, India

    Omer Bin Hussain & Abdul Razak

  2. Department of Computer Science, College of Computer Science, King Khalid University, Abha, Saudi Arabia

    Justin Varghese

Authors
  1. Omer Bin Hussain
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  2. Abdul Razak
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  3. Justin Varghese
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Corresponding author

Correspondence to Omer Bin Hussain .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne, Melbourne, Victoria, Australia

    Rajkumar Buyya

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© 2019 Springer Nature Singapore Pte Ltd.

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Hussain, O.B., Razak, A., Varghese, J. (2019). Comparative Analysis of Prominent Watermarking Algorithms. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_41

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  • DOI: https://doi.org/10.1007/978-981-10-8201-6_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8200-9

  • Online ISBN: 978-981-10-8201-6

  • eBook Packages: EngineeringEngineering (R0)

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