Robust Image Watermarking
Robust image watermarking and self-supervised watermark removal under compression and noise. DSO National Laboratories · Dec 2024 – Jun 2025
Funding: DSO National Laboratories, Singapore · Dec 2024 – Jun 2025
Built a robust encoder–decoder framework for digital watermarking, enhancing multimedia security and tamper resistance. The work focuses on watermark embedding and recovery that survives real-world distortions including JPEG compression, additive noise, and resizing.
Contributions:
- Designed SSH-Net, a self-supervised hybrid encoder–decoder for noisy watermark removal that requires no paired training data (JVCIR 2025).
- Implemented bitstream-aware embedding strategies encoding watermark signals within the JPEG compressed representation to improve resilience against re-encoding attacks.
- Evaluated robustness under structured noise, JPEG re-compression, and combined distortion scenarios.
Related publications: JVCIR 2025