Watermarking Robustness Evaluation Based on Perceptual Quality via Genetic Algorithms

@article{Boato2009WatermarkingRE,
  title={Watermarking Robustness Evaluation Based on Perceptual Quality via Genetic Algorithms},
  author={Giulia Boato and Valentina Conotter and Francesco G. B. De Natale and Claudio Fontanari},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2009},
  volume={4},
  pages={207-216}
}
This paper presents a novel and flexible benchmarking tool based on genetic algorithms (GA) and designed to assess the robustness of any digital image watermarking system. The main idea is to evaluate robustness in terms of perceptual quality, measured by weighted peak signal-to-noise ratio. Through a stochastic approach, we optimize this quality metric, by finding the minimal degradation that needs to be introduced in a marked image in order to remove the embedded watermark. Given a set of… CONTINUE READING
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