Experimental optical encryption based on random mask encoding and deep learning

We present an experimental scheme for optical encryption using random mask encoding and deep learning technique. A phase image is encrypted into a speckle pattern by a random amplitude modulation in the optical transmission. Before decryption processing, a neural network model is used to learn the mapping relationship between the pure-phase object and the speckle image rather than characterizing the filter film used in the scheme explicitly or parametrically. The random binary mask is made by a polyethylene terephthalate film and 2500 object-speckle pairs are used for training. The experimental results demonstrate that the proposed scheme based on deep learning could be successfully used as a random binary mask encrypted image processor, which can quickly output the primary image with high quality from the cyphertext. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Automated summary

This paper presents an experimental scheme for optical encryption using random mask encoding and deep learning technique. The scheme involves encrypting a phase image into a speckle pattern and using a neural network model to learn the mapping relationship between the pure-phase object and the speckle image. The experimental results demonstrate the success of the proposed scheme in quickly outputting high-quality primary images from the cyphertext.