We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Evolutionary Computation Methods in Image Watermarking

by Ahmed A. Saleh, M. A. Abdou
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 10
Year of Publication: 2013
Authors: Ahmed A. Saleh, M. A. Abdou
10.5120/10499-5263

Ahmed A. Saleh, M. A. Abdou . Evolutionary Computation Methods in Image Watermarking. International Journal of Computer Applications. 63, 10 ( February 2013), 1-6. DOI=10.5120/10499-5263

@article{ 10.5120/10499-5263,
author = { Ahmed A. Saleh, M. A. Abdou },
title = { Evolutionary Computation Methods in Image Watermarking },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 10 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number10/10499-5263/ },
doi = { 10.5120/10499-5263 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:56.063061+05:30
%A Ahmed A. Saleh
%A M. A. Abdou
%T Evolutionary Computation Methods in Image Watermarking
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 10
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Watermarking can be described as a desirable alternative solution for copyright protection of digital materials like images, video and audio. This paper introduced a modified watermarking method in Wavelet domain to get better performance. Particle Swarm Optimization (PSO) is used to find the best DWT coefficients in the HL sub - band for embedding the watermark sequence and PSO fitness function can be formed from the watermarked image with the best possible quality, and proved execution time.

References
  1. Xia, X. G. , C. Boncelet, and G. Arce, Wavelet transform based watermark for digital images. THE INTERNATIONAL ONLINE JORNAL OF OPTICS, 1998. 3(12).
  2. Mahmoud, K. , S. Datta, and J. Flint, Frequency Domain Watermarking: An Overview. The International Arab Journal of Information Technology, 2005. 2(1): p. 33-47.
  3. Lin, H. -J. , C. -W. Lu, and J. -P. Yeh, DWT-BASED WATERMARKING TECHNIQUE ASSOCIATED WITH TRANSLATION MAPS. International Conference on Business and Information (BAI2010), 2010.
  4. Aslantas, V. , S. Ozer, and S. Ozturk, Improving the performance of DCT-based fragile watermarking using intelligent optimization algorithms. Optics Communications, 2009. 282(14): p. 2806-2817.
  5. Kennedy, J. and R. Eberhart. Particle swarm optimization. in Neural Networks, 1995. Proceedings. , IEEE International Conference on. 1995.
  6. Rohani, M. and A. N. Avanaki, A Watermarking Method Based on Optimizing SSIM Index by using PSO in DCT Domain 14th International CSI conference (CSICC2009), July 1-2, 2009, Tehran, Iran 2009.
  7. Inoue, H. , Miyazaki, A. and Katsura, T. An image watermarking method based on the wavelet transform ICIP International Conference on 1999.
  8. Rakesh D. , Krishna R. and Narendra A. A new wavelet-based scheme for watermarking images . ICIP International Conference in 1998
Index Terms

Computer Science
Information Sciences

Keywords

Watermarking discrete wavelet transform (DWT) particle swarm optimization (PSO) and translation map (TM) round map (RM)