An optical multiple-image authentication based on computational ghost imaging and total-variation minimization

An optical multiple-image authentication based on computational ghost imaging and total-variation minimization

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An optical multiple-image authentication is suggested using computational ghost imaging and total-variation minimization.Differing from encrypting multiple images into a noise-like ciphertext directly, as described in most conventional authentication methods, the related encoded information is embedded into a cover image to avoid the attention of eavesdroppers.First, multiple images are encoded to form real-valued sequences composed of cubs foam finger corresponding bucket values obtained by the aid of computational ghost imaging, and four sub-images are obtained by decomposing the cover image using wavelet transform.Second, measured sequences are embedded into one of the sub-images, and embedding positions are randomly selected using corresponding binary masks.

To enhance the security level, a chaotic sequence is produced using logistic map and used to scramble measured intensities.Most click here importantly, original images with high quality can be directly recovered using total-variation minimization.The validity and robustness of the proposed approach are verified with optical experiments.