Digital Watermarking using Genetic Algorithm & Bacterial Foraging Algorithm

Authors

  • Eeshu Aggarwal (M.Tech Scholar) ,Electronics & Communication Engineering, PCET, Lalru Mandi, Mohali, India
  • Sandeep Kumar (A.P.) Electronics & Communication Engineering, PCET, Lalru Mandi, Mohali, India

Keywords:

Watermarking, Bacterial Foraging Algorithm, Genetic algorithm, DWT, PSNR, MSE and Image Processing

Abstract

The vast usage of digital multimedia content in public communication system has raised an increasingly
important issue for content owners and service providers. Digital watermarking provides techniques to hide watermarks into
digital content to achieve copyright protection and prevent its illegal copy or reproduction.This paper proposes a novel
method for watermarking relational databases based on hybrid model optimization in which the embedding and extracting
algorithms of watermarking in discrete wavelet transform (DWT) are combined with Genetic Algorithm(GA) -Bacterial
Foraging Algorithm(BFO) based optimization techniques for watermarking . We use the 5-level DWT for the spatial
transform; because of this we get the more accurate watermark. Identification of owner is cryptographically made secure
and used as an embedded watermark. Strength of BFA is explored to make the technique robust, secure an d imperceptible.

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Published

2015-04-25

How to Cite

Eeshu Aggarwal, & Sandeep Kumar. (2015). Digital Watermarking using Genetic Algorithm & Bacterial Foraging Algorithm. International Journal of Advance Engineering and Research Development (IJAERD), 2(4), 245–249. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/625

Issue

Vol. 2 No. 4 (2015): Volume 2 Issue 4, April 2015

Section

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