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SVD Watermarking: Particle Swarm Optimization of Scaling Factors to Increase the Quality of Watermark

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Book cover Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 336))

Abstract

The quality of watermark mainly depends on scaling factor, i.e., the ratio in which we mix the host image and watermark image. This scaling factor should not be too low as it will degrade the quality of extracted watermark (robustness) hugely. Similarly, it should not be too high as it will degrade the quality of watermarked image (Imperceptibility) hugely. So there is a need of optimal selection of scaling factor to get a trade-off between robustness and imperceptibility. In this work, particle swarm optimization (PSO) has been used to choose the optimal values of the scaling factors. Singular value decomposition (SVD) has been used for the watermarking because of its high capacity. Five different attacks have been considered on the watermarked image. The simulation result shows that the SVD + PSO-based watermarking outperforms the watermarking based on SVD alone in all the five attacks.

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Authors and Affiliations

  1. Indian Institute of Technology Roorkee, Roorkee, India

    Irshad Ahmad Ansari & Millie Pant

Authors
  1. Irshad Ahmad Ansari
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  2. Millie Pant
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Correspondence to Irshad Ahmad Ansari .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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Ansari, I.A., Pant, M. (2015). SVD Watermarking: Particle Swarm Optimization of Scaling Factors to Increase the Quality of Watermark. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_17

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_17

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

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