Designing real-time 3D image security with CA-based random mode decomposition

3D integral images have drawn significant interest as an important part of digital entertainment. Thus, there is an urgent need to protect the 3D imaging sources away from malicious attack and manipulation. This paper proposes a real-time 3D integral imaging (InIm) encryption method by employing a novel remapping algorithm and a random mode decomposition (RMD) encryption based on cellular automata (CA). This method has simultaneous advantages of improving the quality of 3D images and enhancing the security by combining the asymmetric RMD and highly random sequence from CA in both time and Fourier domain. Furthermore, compared with the previous 3D image encryption method for InIm, the proposed approach mainly reduces the computing complexity, achieving a real-time encrypting performance by importing remapping algorithm. In experiment, we present the results of time-cost of the InIm security system and the facility-cost of 3D decrypting reconstruction. The results also validate the feasibility and robustness of our encryption method.