Research Article Open Access

Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms

A. Al-Haj1 and A. Abu-Errub1
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Journal of Computer Science
Volume 4 No. 10, 2008, 834-841

DOI: https://doi.org/10.3844/jcssp.2008.834.841

Submitted On: 25 September 2008 Published On: 31 October 2008

How to Cite: Al-Haj, A. & Abu-Errub, A. (2008). Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms. Journal of Computer Science, 4(10), 834-841. https://doi.org/10.3844/jcssp.2008.834.841

Abstract

The excellent spatial localization, frequency spread and multi-resolution characteristics of the Discrete Wavelets Transform (DWT), which were similar to the theoretical models of the human visual system, facilitated the development of many imperceptible and robust DWT-based watermarking algorithms. There had been extremely few proposed algorithms on optimized DWT-based image watermarking that can simultaneously provide perceptual transparency and robustness since these two watermarking requirements are conflicting, in this study we treat the DWT-based image watermarking problem as an optimization problem and solve it using genetic algorithms. We demonstrate through the experimental results we obtained that optimal DWT-based image watermarking can be achieved only if watermarking has been applied at specific wavelet sub-bands and by using specific watermark-amplification values.

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Keywords

  • Copyright protection
  • ownership verification
  • digital image watermarking
  • transformdomain watermarking
  • Discrete Wavelet Transform (DWT)
  • Genetic Algorithms (GA)
  • robustness
  • imperceptibility
  • fitness function
  • optimal sub-band