@article {10.3844/jcssp.2008.834.841,
article_type = {journal},
title = {Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms},
author = {Al-Haj, A. and Abu-Errub, A.},
volume = {4},
number = {10},
year = {2008},
month = {Oct},
pages = {834-841},
doi = {10.3844/jcssp.2008.834.841},
url = {https://thescipub.com/abstract/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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}