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Emerging Trends in Electrical, Communications and Information Technologies pp 193–200Cite as

Robust Invisible Watermarking for Image Authentication

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 394))

Abstract

This paper proposes implementation of digital image watermarking using 3-level discrete wavelet transform. In this experimentation, digital image watermarking algorithm uses discrete wavelet transform (DWT) for decomposing cover image and watermark image. A defined algorithm does not change any information of the cover image. Information obtained from low frequency DWT coefficient of cover image and the watermark image is being used in order to get watermark embedding. Watermark extraction has been simply done by wavelet decomposition of watermarked image and cover image.

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References

  1. Subramanyam AV, Emmanuel S, Kankanhalli MS (2012) Robust watermarking of compressed and encrypted JPEG2000 images. IEEE Trans Multimed 14(3)

    Google Scholar 

  2. Dixit MM, Kulkarni PK, Somasagar PS, Angadi VC (2012) Variable scaling factor based invisible image watermarking using hybrid DWT–svd compression-decompression technique. In: IEEE students’ conference on electrical, electronics and computer science

    Google Scholar 

  3. Kundu S, Kumar S, Chander K (2012) Efficient genetic algorithm based image watermarking using DWT-SVD techniques. In: International conference on computing sciences

    Google Scholar 

  4. Li J, Dong C, Huang M, Bai Y, Zhang H (2012) The medical images watermarking using DWT and Arnold. IEEE

    Google Scholar 

  5. Bhargava N, Sharma M, Singh A, Garhwal, Mathuria M (2012) Digital image. SKP Engineering College, Tiruvannamalai, TN, India 21–22, pp 185–189

    Google Scholar 

  6. Tianming G, Yanjie W (2011) DWT-based digital image watermarking algorithm. In: IEEE the tenth international conference on electronic measurement and instruments, ICEMI, pp 163–166

    Google Scholar 

  7. Jabade VS, Gengaje SR (2011) Literature review of wavelet based digital image watermarking techniques. Int J Comput Appl (0975–8887) 31(1):28–31

    Google Scholar 

  8. Shi F, Shi Y, Lai L (2011) Optimization on digital watermarking algorithm based on SVD-DWT. In: IEEE international conference on granular computing

    Google Scholar 

  9. Lai C-C, Tsai C-C (2010) Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans Instrum Meas 59(11):3060–3063

    Article  Google Scholar 

  10. Liu J-L, Lou D-C, Chang M-C, Tso H-K (2010) A robust watermarking scheme using self-reference image. Comput Standards Interf Sciencedirect 356–367

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Korti, Pandharpur, India

    Priyanka R. Kulkarni & Altaaf O. Mulani

  2. AISSMS’s Institute of Information Technology, Pune, India

    P. B. Mane

Authors
  1. Priyanka R. Kulkarni
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  2. Altaaf O. Mulani
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  3. P. B. Mane
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Corresponding author

Correspondence to Priyanka R. Kulkarni .

Editor information

Editors and Affiliations

  1. Mathematics and Computer Science, Chicago State University, Chicago, Illinois, USA

    Kapila Rohan Attele

  2. BioAxis DNA Research Centre (P) Hyderabad, IEEE India Council, Hyderabad, India

    Amit Kumar

  3. Department of Electrical Engineering, JNTU College of Engineering, Ananthapur, India

    V. Sankar

  4. Department of Computer Science, CVR College of Engineering, Hyderabad, India

    N. V. Rao

  5. Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology, Ananthapur, India

    T. Hitendra Sarma

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© 2017 Springer Science+Business Media Singapore

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Cite this paper

Kulkarni, P.R., Mulani, A.O., Mane, P.B. (2017). Robust Invisible Watermarking for Image Authentication. In: Attele, K., Kumar, A., Sankar, V., Rao, N., Sarma, T. (eds) Emerging Trends in Electrical, Communications and Information Technologies. Lecture Notes in Electrical Engineering, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-10-1540-3_20

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  • DOI: https://doi.org/10.1007/978-981-10-1540-3_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1538-0

  • Online ISBN: 978-981-10-1540-3

  • eBook Packages: EngineeringEngineering (R0)

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