Optical image authentication using spatially variant polarized beam and sparse phase sampling method

Abstract An innovative image authentication scheme using spatially variant vector beam is introduced. During encoding period, the original image is converted into two angle distribution images by making use of the modified Gerchberg–Saxton algorithm (MGSA) and random polarization parameters in a digital way. By using image division and sparse sampling, two mosaic ciphertexts which retain partial encoded information are obtained. A generator of spatially variant polarized beam, combined with a sparse phase-only key, can decrypt the ciphertexts into a noise-like result that can be authenticated by a nonlinear correlator. Numerical simulation tests demonstrate the security strength and robustness of this scheme. Moreover, this scheme exhibits a higher resistance against misalignment of phase-only key, which is advantageous for practical implementation. We expect that these results might be useful for future application of polarization encoding in security application.

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