A robust information hiding algorithm based on lossless encryption and NSCT-HD-SVD

TLDR: A robust information hiding algorithm based on lossless encryption, non-subsampled contourlet transform (NSCT), Hessen-berg decomposition (HD) and singular value decomposition was proposed in this paper.

Abstract: Aiming at the problem of the security of secret information in various potential applications, we introduce a robust information hiding algorithm based on lossless encryption, non-subsampled contourlet transform (NSCT), Hessen-berg decomposition (HD) and singular value decomposition (SVD). Firstly, the carrier and secret mark information is transformed by NSCT-HD-SVD. Secondly, the singular score of secret media information is concealed in the carrier image. Thirdly, the text document is further concealed in the carrier marked image via pseudo magic cubes to achieve the final carrier marked image. Finally, the lossless encryption scheme is utilized to encrypt the final marked image. The simulation results of the proposed algorithm indicate good invisibility and robustness effect compared to existing schemes with high security and hiding efficiency. It indicates a considerable improvement in robustness of up to 96.36% over other schemes. Overall, the proposed algorithm for various images, achieved peak signal-to-noise ratio (PSNR), normalized correlation (NC), structural similarity index (SSIM), number of changing pixel rate (NPCR) and unified averaged changed intensity (UACI) of up to 67.36 dB, 0.9996, 1.0000, 0.9964 and 0.4005, respectively, indicating its effectiveness for secure media applications.