Robust image watermarking algorithm based on generative adversarial networks and dynamic attention

Key Points

• Improved robustness achieved through a generative adversarial network-based algorithm, enhancing image watermarking.
• findings show a significant increase in watermark invisibility and resilience against attacks.
• Observational analysis of existing algorithms highlights the effectiveness of dynamic attention in watermark extraction.
• This method supports enhanced digital content security, though further testing in varied environments is necessary.