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Digital Image Watermarking Using Sine Transform Technique

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Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) (ISMAC 2018)

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

Abstract

In this chapter, digital image watermarking using sine transformation has been introduced in the frequency domain. In the proposed technique, the secret image is first compressed using a sine transformation and then embedded into the host image. The resultant images obtained from the proposed algorithm are subjected to various security attacks and the results are compared with other existing algorithms. The results obtained are better compared to the existing techniques.

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References

  1. Ahmaderaghi B, Kurugollu F, Del Rincon JM, Nekrasov D, Bouridane A (2018) Blind image watermark detection algorithm based on discrete Shearlet transform using statistical decision theory. IEEE Trans Comput Imaging 4(1):46–59

    Article  MathSciNet  Google Scholar 

  2. Brandão AS, Jorge DC (2016) Artificial neural networks applied to image steganography. IEEE Latin Am Trans 14(3):1361–1365

    Article  Google Scholar 

  3. Prajwalasimha SN (2018) Pseudo-Hadamard Transformation-Based Image Encryption Scheme. Integrated Intelligent Computing, Communication and Security, information & communication technology, Studies in Computational Intelligence 771, Springer, pp 575–583

    Google Scholar 

  4. Prajwalasimha SN, Pavithra AC (2018) Digital Image Watermarking based on Successive Division. In: Proceedings of IEEE international conference on communication and electronics systems, pp 31–35

    Google Scholar 

  5. Celik MU, Sharma G, Tekalp AM, Saber E (2005) Lossless generalized-LSB data embedding. IEEE Trans Image Process 14(2):253–266

    Article  Google Scholar 

  6. Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst Video Technol 13(8):890–896

    Article  Google Scholar 

  7. Ni Z, Shi YQ, Ansari N, Su W (2006) Reversible data hiding. IEEE Trans Circuits Syst Video Technol 16(3):354–362

    Article  Google Scholar 

  8. Salama AS, Mokhtar MA (2016) Combined technique for improving digital image watermarking. In: Proceedings of IEEE international conference on computer and communications, pp 557–562

    Google Scholar 

  9. Khanna AK, Roy NR, Verma B (2017) Digital image watermarking and its optimization using genetic algorithm. In: Proceedings of IEEE international conference on computing, communication and automation, pp 1140–1144

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electronics & Communication, ATME College of Engineering, Mysuru, India

    S. N. Prajwalasimha, S. Sonashree, C. J. Ashoka & P. Ashwini

Authors
  1. S. N. Prajwalasimha
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  2. S. Sonashree
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  3. C. J. Ashoka
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  4. P. Ashwini
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Corresponding author

Correspondence to S. N. Prajwalasimha .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Prajwalasimha, S.N., Sonashree, S., Ashoka, C.J., Ashwini, P. (2019). Digital Image Watermarking Using Sine Transform Technique. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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