With the growing demand for multimedia content, image protection has become increasingly important. Robust image watermarking, as a core technology for copyright protection, has attracted extensive attention.
🌟 What is WatermarkLab?
We propose WatermarkLab, a powerful framework aiming to establish a comprehensive, fair, and interactive platform for blind robust image watermark benchmarking and development.
⚡ Key Features
WatermarkLab supports benchmark evaluation of all types of blind robust image watermarks — including in-generation and post-generation watermarks.
Beyond benchmarking, WatermarkLab integrates 10 representative watermarking methods for systematic comparison. It also includes 34 attackers for benchmarking and 28 differentiable attackers for development.
We evaluate the robustness of 9 watermarking methods under 34 attackers and identify their weaknesses — assisting researchers in enhancing robustness and designing new watermark removal attackers.
🛠️ Tools & Visualization
The framework provides auxiliary tools such as arithmetic coding and reversible data hiding techniques. For result visualization, WatermarkLab offers comprehensive tools and an interactive website — enabling intuitive analysis and comparison.