A 3D information steganography technique using DiffStega

Image steganography plays a significant role in safeguarding privacy, security and confidential documents. Although current deep learning algorithms associated with this technology have reached a high level of safety, their application in 3D information encryption remains limited. As diffusion models substantially impact image generation, in this paper, we propose an approach to encrypt optical fringe images using the DiffStega method, one of the diffusion models. Because a fringe image carries the height information, the 3D information can be hidden and transferred through a confidential image. Experiments show the effect of our method, which can encrypt and recover the fringe image successfully.