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Watermarking Algorithm based using Genetic Algorithm and HVS

by T. Sridevi, S Sameena Fathima
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 13
Year of Publication: 2013
Authors: T. Sridevi, S Sameena Fathima
10.5120/12947-0021

T. Sridevi, S Sameena Fathima . Watermarking Algorithm based using Genetic Algorithm and HVS. International Journal of Computer Applications. 74, 13 ( July 2013), 26-30. DOI=10.5120/12947-0021

@article{ 10.5120/12947-0021,
author = { T. Sridevi, S Sameena Fathima },
title = { Watermarking Algorithm based using Genetic Algorithm and HVS },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 13 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number13/12947-0021/ },
doi = { 10.5120/12947-0021 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:12.437088+05:30
%A T. Sridevi
%A S Sameena Fathima
%T Watermarking Algorithm based using Genetic Algorithm and HVS
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 13
%P 26-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this work, a watermarking algorithm is proposed using Genetic algorithm and discrete wavelet transformation. The algorithm proposed is to improve both robustness and fidelity of the watermarked image. Fuzzy Inference system is used to determine the embedding strength based on HVS properties of the image. To test the robustness different attacks are performed and the NC (Normalized cross correlation) is computed. The algorithms showed better results and good quality for watermarked image.

References
  1. A. Reza, "Wavelet Characteristics, What Wavelet Should I use?," White Paper, 1999.
  2. A. S. Lewis and G. Knowles, "Image Compression Using the 2-D Wavelet Transform," IEEE Transactions on Image Processing, Vol. 1,No. 2, pp. 244-250, Apr. 1992.
  3. Chin-Shiuh Shieh, Hsiang-Cheh Huang, Feng-Hsing Wang, Jeng-Shyang Pana, "Genetic watermarking based on transform-domain techniques", C. -S. Shieh et al. / Pattern Recognition 37,pp. 555 – 565, 2004.
  4. Dr Cauvery N K,"Water Marking on Digital Image using Genetic Algorithm", IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 2, pp. 323-332, 2011.
  5. M. Barni, F. Bartolini, and A. Piva, "Improved Wavelet-Based Watermarking Through Pixel-Wise Masking," IEEE Transactions on Image Processing,May 2001.
  6. Nizar Sakr, Nicolas Georganas, and Jiying Zhao ,"Copyright Protection of Image Learning Objects using Wavelet-based Watermarking and Fuzzy Logic", 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories Montreal, Quebec, Canada, 9–11 November, 2006
  7. Pietikäinen, M. "Image Analysis with Local Binary Patterns", 2005, pp 115-118.
  8. Sherin M. Youssef, Ahmed Abouelfarag, and Noha M. Ghatwary ,"Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model", World Academy of Science, Engineering and Technology 72 2012
  9. T. Ojala, M. Pietikäinen, and T. Mäenpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns", IEEE Trans. PAMI, vol. 24, 2002, pp. 971- 987.
  10. Goldberg, D. E , "Genetic Algorithm in Search , Optimization & machine Learning", Addison-Weseley,1989.
  11. M. Srinivas and Lalit M. Patnaik, " Genetic Algorithm : A Survey" IEEE,1994.
  12. Lin, T. C. , Lin, C. M. , 2009. Wavelet-based copyright-protection scheme for digital images based on local features. Information Sciences 179, 3349–3358.
  13. Paquet, A. H. , Ward, R. K. , Pitas, I. , 2003. Wavelet packet-based digital watermarking for image verification and authentication. Signal Processing 83, 2117–2132.
  14. Maity, S. P. , et al. , Collusion resilient spread spectrum watermarking in M-band wavelets using GA-fuzzy hybridization. J. Syst. Software (2012)
Index Terms

Computer Science
Information Sciences

Keywords

Watermarking DWT (discrete wavelet transformation) robustness fidelity Fuzzy Inference system(FIS) HVS (human visual system) NCC (normalized co-relation coefficient)

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