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A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform

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Advanced Communication and Intelligent Systems (ICACIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1749))

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Abstract

Due to latest development in computing and communication technologies, there are various kinds of digital contents on the internet in terms of audio, video, and images. Also, there are many freely available softwares that can modify a given digital object. These softwares have created a challenge for the owners of the original contents. Digital image watermarking secret data hiding may be helpful in addressing this problem digital contents. This chapter discusses a data hiding scheme by using the singular value decomposition (SVD) and digital wavelet transform (DWT). Our scheme performs better than the recent methods for the quality and the extracted watermark image.

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References

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Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University Delhi, Delhi, India

    Sudhir Singh & Buddha Singh

Authors
  1. Sudhir Singh
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  2. Buddha Singh
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Corresponding author

Correspondence to Sudhir Singh .

Editor information

Editors and Affiliations

  1. Bharath Institute of Higher Education and Research, Chennai, India

    Rabindra Nath Shaw

  2. Systems Research Institute, Warsaw, Poland

    Marcin Paprzycki

  3. The Neotia University, Sarisha, India

    Ankush Ghosh

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Singh, S., Singh, B. (2023). A Robust Data Hiding Scheme Using Singular Value Decomposition and Wavelet Transform. In: Shaw, R.N., Paprzycki, M., Ghosh, A. (eds) Advanced Communication and Intelligent Systems. ICACIS 2022. Communications in Computer and Information Science, vol 1749. Springer, Cham. https://doi.org/10.1007/978-3-031-25088-0_6

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  • DOI: https://doi.org/10.1007/978-3-031-25088-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25087-3

  • Online ISBN: 978-3-031-25088-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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