On the robustness of image watermarking VIA compressed sensing

Based on generation of the pseudo-random sensing matrix utilizing a cryptographic key, the Compressed Sensing(CS) offers a natural scrambling method for image watermarking signal. Additionally, the robustness of recovery watermarking image from CS, allows a new form of “robust watermarking” for image data, wherein the watermark signal is recoverable with high fidelity despite the introduction of additive noise in the watermarking data. In the paper, a novel generation method of image watermarking is proposed based on block Compressed Sensing (BCS). The watermark signal are formed by measurement values of image in BCS domain and are embedded into all subblocks of the LLn sub-band of the transformed host image in DWT domain. Our analysis and results indicate that the introduction of the BCS improves the robustness of the image watermarking for resisting attacks.