Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms
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.
DOI: https://doi.org/10.3844/jcssp.2008.834.841
Copyright: © 2008 A. Al-Haj and A. Abu-Errub. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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