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Abstract

Watermarking is a method to hide the image efficiently into any covering object (image in our case) so no intruder can interpret it by any means. Proposed work is a new design of image watermarking which include pre-processing of cover image with Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Proposed work using an alphanumeric key which initially modifies the watermark using simple ‘XOR’ operation, and at the receiver end this key must be there so that receiver can extract the watermark.  Proposed work is also using torus Automorphism which initially changes the watermark into a scramble format which cannot be recognised as original watermark.

Keywords

DWT Discrete Wavelet Transform SVD Singular Value Decomposition Torus Automorphism Arnold scrambling approximate band diagonal detail band.

Article Details

How to Cite
Mishra, O. N., & Shukla, S. (2018). ADAPTIVE IMAGE WATERMARKING USING DISCRETE WAVELET TRANSFORM, SINGULAR VALUE DECOMPOSITION AND AUTOMORPHISM. International Journal of Students’ Research in Technology & Management, 6(2), 77–80. https://doi.org/10.18510/ijsrtm.2018.6211

References

    [1] Zhi Zhang, Chengyou Wang, et al “Image Watermarking Scheme Based on Arnold Transform and DWT-DCT-SVD”, ICSP2016, 978-1-5090-1345-6/16/2016 IEEE.
    [2] Amra Siddiqui, Arashdeep Kaur, “A secure and robust image watermarking system using wavelet domain”, 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, IEEE, DOI: 10.1109/CONFLUENCE.2017.7943222.

    [3] Aniket Roy, Arpan Kumar Maiti, Kuntal Ghosh, “A perception based color image adaptive watermarking scheme in YCbCr space”, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 978-1-4799-5991-4/15/2015 IEEE.

    [4] Krishna Rao Kakkirala, Srinivasa Rao Chalamala, “Block Based Robust Blind Image Watermarking Using Discrete Wavelet Transform”, 2014 IEEE 10th International Colloquium on Signal Processing & its Applications (CSPA2014), 7 - 9 Mac. 2014, Kuala Lumpur, Malaysia.

    [5] G.Rosline Nesa Kumari, Dr.S.Maruthuperumal, Dr.V.Vijayakumar, “Hierarchical-Edge based Torus Automorphism for Digital Watermarking”, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 2, February 2013.

    [6] Nallagarla.Ramamurthy, Dr.S.Varadarajan, “Effect of Various Attacks on Watermarked Images”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (2) , 2012,3582-3587.

    [7] Dan Kalman, “A Singularly Valuable Decomposition: The SVD of a Matrix”, THE COLLEGE MATHEMATICS JOURNAL, vol 27 no. 1, 1996.

    [8] Mayank Awasthi1 and Himanshi Lodhi, “Robust Image Watermarking based on Discrete Wavelet Transform, Discrete Cosine Transform & Singular Value Decomposition”, Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 3, Number 8 (2013), pp. 971-976 \ Research India Publications.

    [9] Vinicius Licks and Ramiro Jordan, “Geometric Attacks on Image Watermarking Systems.”, University of New Mexic, 1070-986X/05/2005 IEEE Published by the IEEE Computer Society.