Digital Image Watermarking Based on Genetic Algorithm Approach
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2016 by IJCOT Journal|
|Volume - 6 Issue - 6
|Year of Publication : 2016|
|Authors : Arun Kumar R, Sai Kumar D, Prof. T.Venkat Narayana Rao|
|DOI : 10.14445/22492593/IJCOT-V38P301|
Arun Kumar R, Sai Kumar, Prof. T.Venkat Narayana Rao"Digital Image Watermarking Based on Genetic Algorithm Approach", International Journal of Computer & organization Trends (IJCOT), V6(6):34-37 Nov - Dec 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract Digital watermarking is the process of embedding information into a digital signal. The main issues to be considered during the watermark are robustness and fidelity. Robustness implies the strength of the watermark against various image processing attacks. The fidelity is used to determine the quality of the image after embedding the watermark. The techniques of digital watermarking are based on spatial domain and frequency domain. In this paper a watermarking scheme is implemented based on DWT using Genetic Algorithm. Discovering the locations to embed watermark into cover image can be viewed as an optimization problem. Genetic Algorithm is used to find optimal locations to achieve fidelity. The proposed technique uses Rank and Tournament based selection as a selection operator to find the optimal locations for embedding watermark into the cover image. Attacks are also possible on the watermarked image. Quantitative measures such as PSNR and NC are used to evaluate the quality of each watermarked image.
 D. Venkatesan, K Kannan, and S.Raja Balachandar “Optimization of fidelity using a new genetic algorithm” Applied Mathematical Sciences, Vol. 6, 2012, no. 73, 3607 – 3614.
 Deng Fengsen Deng and Bingxi Wang ,” A Novel Technique for Robust Watermarking in the DCT Domain”, in Proc. Of the 2003 International Conf. Neural Networks and Signal Processing, (2003), 1525-1528.
 Fabien A. P. Petitcolas, Ross J. Anderson and Markus G. Kuhn, "Information Hiding-A Survey Proceedings of the IEEE, special issue on protection of multimedia content", 87(7):1062-1078, July 1999.
 Frank Y,Shih, Yi-Ta Wu “Robust watermarking and compression for medical images based on genetic algorithms” Information sciences 175(2005) 200-216.
 Goldberg, D.E , “Genetic Algorithm in Search , Optimization & machine Learning”, Addison- Weseley,1989.
 Holland, J.H., 1975. “Adaptation in natural and artificial systems”. The University of Michigan Press.
 Hsiang ChehHuang • Chi-Ming Chu •Jeng-Shyang Pan “The optimized copyright protection system with genetic algorithm”. Springer-Verlag 2008.
 Holland, J.H., 1992. “Adaptation in Natural and Artificial System: an introductory analysis with applications to biology, control, and artificial intelligence", MIT press”.
 Dr N. K Cauvery “Watermarking on digital image using genetic algorithm”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 6, No 2, November 2011.
 P.Surekha and S.Sumathi “Implementation of Genetic Algorithm For A Dwt Based Image Watermarking Scheme”. Vol. 2, Issue 2, July 2011.
Water Marking, Genetic Algorithm, Classification, Mutation, Embedding Process, Optimaization.