Image Watermark

Image watermarking techniques embed imperceptible identifiers into digital images, primarily to verify authenticity and ownership, especially crucial in the age of AI-generated content. Current research focuses on enhancing watermark robustness against sophisticated removal and forgery attacks, including those leveraging diffusion models and adversarial optimization, often employing deep learning architectures like convolutional neural networks and contrastive learning methods. This field is vital for combating misinformation and protecting intellectual property, driving the development of more resilient watermarking schemes and robust detection algorithms.