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SVD–DWT Hybrid Frequency Domain Watermarking for Gray Scale Images Using Particle Swarm Optimization

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1392 ))

Abstract

The Digital Rights Management (DRM) applications require information security measures to be applied to all kind of media-sound, image and video. The media may be available in compressed or uncompressed domain. Image watermarking is one such measure. Various soft computing techniques are employed to achieve it. These include different meta-heuristic techniques, which are found quite suitable for identifying relevant pixel coefficients for watermark embedding according to single or varying embedding scaling factors across the image. This paper proposes to use the Particle Swarm Optimization (PSO) technique to carry out embedding according to multiple scaling factor-based integration of watermark coefficients with original pixel coefficients in SVD-transform domain. Comparison of our results with prominent works in this direction shows that the proposed results outperform all other schemes.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Delhi, New Delhi, India

    Megha Bansal

  2. Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India

    Anurag Mishra & Arpita Sharma

Authors
  1. Megha Bansal
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  2. Anurag Mishra
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  3. Arpita Sharma
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Corresponding author

Correspondence to Megha Bansal .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Aruna Tiwari

  2. Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Kapil Ahuja

  3. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

  4. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  6. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bansal, M., Mishra, A., Sharma, A. (2021). SVD–DWT Hybrid Frequency Domain Watermarking for Gray Scale Images Using Particle Swarm Optimization. In: Tiwari, A., Ahuja, K., Yadav, A., Bansal, J.C., Deep, K., Nagar, A.K. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1392 . Springer, Singapore. https://doi.org/10.1007/978-981-16-2709-5_11

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