  A novel framework of optical image hiding based on deep learning (DL) is
proposed in this paper, and hidden information can be reconstructed from an
interferogram by using an end to end network with high-quality. By using the
prior data between the hidden image and the object image, a generative
adversarial network was trained so that it can learn the hiding model, which
resulting in only an interferogram needs to be transmitted and recorded to
reconstruct image. Moreover, reconstruction process can be obtained without the
parameters in optical inverse diffraction and the reconstruction result will
not be affected by the phase shifts deviation and noise, which is convenient
for practical application. The feasibility and security of the proposed method
are demonstrated by the optical experiment results.
