Robust Watermarking Scheme in Encrypted Domain Based on Integer Lifting Wavelet Transform and Compressed Sensing

Watermarking schemes in plaintext domain usually suffer from high exposure risk of the cover signal. Data hiding in encrypted image (DHEI) can guarantee the security of the cover signal by embedding secret information into encrypted signal. Based on the above, we propose a robust watermarking scheme in encrypted domain based on integer lifting wavelet transform (LWT) and compressed sensing (CS). Firstly, the signal owner uses Kronecker CS progressive reconstruction and global random permutation (GRP) to realize the reserving room and encryption. Subsequently, the watermark is preprocessed by integer LWT, and compressed by CS. Then, the watermark is embedded by multiple embedding method (MEM) and most significant bits (MSBs) replacement in the cover signal. Experiments show that the proposed scheme can extract the watermark stably under a variety of attacks while the cover signal achieves satisfactory reconstruction.