Robust Image Watermarking Based on Compressed Sensing Techniques

Compressed sensing is a newly developed topic in the field of data compression. Most of relating researches focus on compression performances or theoretical studies, and there are very few papers aiming at the integration of watermarking into compressed sensing systems. In this paper, we propose an innovative scheme that considers the copyright protection of data with compressed sensing. By carefully utilizing the relationships between compressively sensed coefficients, very few amounts of transmitted coefficients are capable of reconstructing the image to some extent. Moreover, secret information embedded beforehand can be recovered with acceptable rate in correctly extracted bits even experiencing through the lossy channels for delivery of marked image. Simulation results with our algorithm have demonstrated the effectiveness for integrating watermarking into compressive sampling systems.