WatermarkLab

With the growing demand for multimedia content, image protection has become increasingly important. Robust image watermarking, a key technology for copyright protection, has attracted significant attention. To support research in this field, we propose WatermarkLab, a comprehensive framework for systematic benchmarking and development of robust image watermarks. The framework supports evaluation of all types of blind watermarks, including in-generation and post-generation methods, and integrates representative watermarking techniques for direct comparison. It also provides various attack scenarios and auxiliary tools, such as arithmetic coding and reversible data hiding, to facilitate development of robust and reversible watermarking methods. WatermarkLab offers interactive visualization tools and a user-friendly website, enabling intuitive analysis and comparison of results. Overall, WatermarkLab aim to establish a comprehensive, fair, and open platform for robust image watermarking benchmarking and development.