Literature Survey on Watermarking Schemes Using Optimization Techniques

Authors(3) :-Sachin Gupta, Priyanka Mitra, Brij Kishore

In the world of internet, trillions of bits of information and data are produced in every fraction of second. Thus transferring of the data over the internet needs to be protected from the intruders. Digital watermarking technique has emerged as an innovative technology to protect the data from imposters. This paper focuses different types of transform based approaches and optimization techniques used in digital watermarking. The paper reviews detailed study of particle swarm optimization and proposed methods by taking advantage of combining PSO with different watermarking schemes. The Robustness of the digital watermark implies how effective water marked image against various noise attacks. Thus it has been taken as important parameter for testing the robustness and this can be verified by evaluating NCC (Normalized Cross Correlation value) and PSNR (Peak Signal to Noise Ratio)

Authors and Affiliations

Sachin Gupta
Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India
Priyanka Mitra
Department of Computer Science & Engineering, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
Brij Kishore
Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India

Watermarking, Particle Swarm Optimization, Discrete Wavelet Transfrom, Discrete Cosine Tranform, Robustness

  1. Macq B.M., Quisquater J.J., “Cryptology for digital TV broadcasting”, Proceedings of IEEE, ISSN: 0018-9219, vol. 83, pp. 944-957, June 1995.
  2. Bender W., Gruhl D., Morimoto N., “Techniques for data hiding”, Proc. SPIE, vol.  2420, page 40, Feb. 1995
  3. N. Memon and P. W. Wong, “A buyer-seller  watermarking protocol,” IEEE Trans. Image Process.,  vol. 10, no. 4, pp. 643–649, Apr. 2001
  4. John, N. Ellinas, Panagiotis, & Kenterlis, "A Wavelet-Based Watermarking Method Exploiting the Contrast Sensitivity Function". International Journal of Signal Processing. Vol. 3, No. 4, Pp-266-272, 2006
  5. Zhao, J., and Koch, E. (1995, August). Embedding robust labels into images for copyright protection. Proceeding of the International Congress on Intellectual Property Rights for Specialized Information, Knowledge and New Technologies, Vienna, pp. 1–10
  6. Ruanaidh J. J. K. O., Dowling W. J., Borland F. M., (1996), "Phase watermarking of digital images," in Proc. IEEE Int. Conf: Image Processing, pp. 239-242, Sept. 16-19.
  7. G.B.Rhoads. Indentication/authentication coding method and apparatus. World Intellectual Property Organization, WIPO WO 95/14289, 1995.
  8. Kimpan, S., Lasakul, A. and Chitwong, S. (2004) Variable block size based adaptive watermarking in spatial domain, IEEE International Symposium onCommunications and Information Technology, ISCIT 2004, Vol. 1, Pp. 374-377
  9. Vidyasagar M. Potdar, Song leu, Elizabeth Chang, ?A Survey of Digital Image Watermarking Techniques?, 2005 3rd IEEE International conference on Industrial Informatics (INDIN).
  10. Hanane H.Mirza, Hien D.Thai, Yasunori Nagata and Zensho Nakao “Digital Video Watermarking Based on Principal Component Analysis”, IEEE 2007.
  11. F. Pérez-González, F. Balado, and J. R. Hernández, “Performance analysis of existing and new methods for data hiding with known-host information in additive channels,” IEEE Trans. on Signal Processing, 51(4):960-980, April 2003.
  12. M. Do and M. Vetterli, “The contourlet transform: an efficient directional multiresolution image representation, "Image Processing, IEEE Transactions on, vol. 14, no. 12, pp. 2091-2106, 2005.
  13. Miao Qiguang,  and Wang Baoshul, “A Novel Image Fusion Method Using Contourlet Transform” IEEE trans. geosci. remote sens., vol. 43, no. 6, pp. 1391-1402, June 2005.
  14. Y.  Lu and M.  N.  Do, “A new contourlet transform with sharp frequency localization”, in Proc.  IEEE Int.  Conf.  on Image Proc (Atlanta, USA), October 2006
  15. Storn, R., Price, K. (1997). "Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces“, Journal of Global Optimization 11: 341–359
  16. H.-C. Huang, C.-M. Chu, and J.-S. Pan, “Genetic Watermarking for Copyright Protection,” Information Hiding and Applications, vol. 227, pp. 1-19, 2009.
  17. Dongeun Lee, Tackyung Kim, Seongwon Lee, Joonki paik, "Genetic Algorithm based Watermarking in Discrete Wavelet Transform Domain", LNCS 4113, pp. 709-716, 2006
  18. Zhicheng Wei, Hao Li, Jufeng Dai, Sashuang Wang, "Image Watermarking Based on Genetic Algorithm", IEEE Transaction, 2006.
  19. Ali Al-Haj “Combined DWT-DCT Digital Image Watermarking,” Journal of computer science 3 (9),740-746, ISSN, 2007.
  20. Stefan Janson and Martin Middendorf, “A Hierarchical Particle Swarm Optimizer and Its Adaptive Variant”, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 35, NO. 6, DECEMBER 2005.
  21. Chunming Yang and Dan Simon, “A New Particle Swarm Optimization Technique”, 2005.
  22. Hui Wang, Yong Liu, Sanyou Zeng , Hui Li and Changhe Li, “Opposition based Particle swarm Algorithm with Cauchy Mutation”, IEEE 2007
  23. Marco A. Montes de Oca and Thomas Stutzle, “Convergence Behavior of the Fully Informed Particle Swarm Optimization Algorithm”, 2008.
  24. Yuh-Rau Wang, Wei-Hung Lin; Ling Yang “A Blind PSO Watermarking Using Wavelet Trees          Quantization” International Conference on Machine Learning and Cybernetics (ICMLC),          2011, Guilin
  25. Z. Xiaojie, W. Yiquan, W. Shihua, Z. Yufei, Y. Sufen and Z. Shengwei, "Infrared image enhancement based on contourlet transform and chaotic particle swarm optimization",  International Conference on Computer Science and Information Processing (CSIP) , vol., no., pp.336,339, 24-26 Aug. 2012.
  26. M. Quraishi, K. Dhal, J. Choudhury, K. Pattanayak and M. De, "A novel hybrid approach to enhance low resolution images using particle swarm optimization", 2nd IEEE International Conference on  Parallel Distributed and Grid Computing (PDGC), vol., no., pp.888,893, 6-8 Dec. 2012.
  27. Bing XueMengjie Zhang Will N. Browne “Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach”,IEEE TRANSACTIONS ON CYBERNETICS, VOL. 43, NO. 6, DECEMBER 2013
  28. R. P. Singh, M. Dixit, S. Silakari, "Image Contrast Enhancement Using GA and PSO: A Survey," International Conference on Computational Intelligence and Communication Networks (CICN), vol., no., pp.186, 189, 2014

Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 635-642
Manuscript Number : IJSRSET1734159
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sachin Gupta, Priyanka Mitra, Brij Kishore, " Literature Survey on Watermarking Schemes Using Optimization Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.635-642, July-August-2017.
Journal URL :

Article Preview

Follow Us

Contact Us