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Optics Communications

High performance optical encryption based on computational ghost imaging with QR code and compressive sensing technique

Shengmei Zhao, Le Wang, Wenqiang Liang, W. W. Cheng, Longyan Gong

Published May 11, 2015• 132 citations
Publisher
DOI
10.1016/j.optcom.2015.04.063

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Optical Security using the Double-Random-Phase Encryption with Photon-Counting

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We investigate a full phase based photon-counting double-random-phase encryption (PC-DRPE) method. A photon-counting technique is applied during the encryption process creating sparse images. The statistical distribution of the photon-counting decrypted data for full phase encoding and amplitude phase encoding are derived and their statistical parameters are used for authentication. The performance of the full phase PC-DRPE is compared with the amplitude-based PC-DRPE method. The photon-counting decrypted images make it difficult to visually authenticate the input image; however, advanced correlation filters can be used to authenticate the decrypted images given the correct keys. Initial computational simulations show that the full phase PC-DRPE has the potential to require fewer photons for authentication than the amplitude-based PC-DRPE.\nIn addition, we propose an optical security method for object authentication using photon-counting encryption implemented with phase encoded QR codes. By combining the full phase double-random-phase encryption with photon-counting imaging method and applying an iterative Huffman coding technique, we are able to encrypt and compress an image containing primary information about the object. This data can then be stored inside of an optically phase encoded QR code for robust read out, decryption, and authentication. The optically encoded QR code is verified by examining the speckle signature of the optical masks using statistical analysis. Optical experimental results are presented to demonstrate the performance of the system. In addition, experiments with a commercial Smartphone to read the optically encoded QR code are presented. To the best of our knowledge, this is the first report on integrating photon-counting security with optically phase encoded QR codes.

•Jan 1, 2014•1 citation
We investigate a full phase based photon-counting double-random-phase encryption (PC-DRPE) method. A photon-counting technique is applied during the encryption process creating sparse images. The statistical distribution of the photon-counting decrypted data for full phase encoding and amplitude phase encoding are derived and their statistical parameters are used for authentication. The performance of the full phase PC-DRPE is compared with the amplitude-based PC-DRPE method. The photon-counting decrypted images make it difficult to visually authenticate the input image; however, advanced correlation filters can be used to authenticate the decrypted images given the correct keys. Initial computational simulations show that the full phase PC-DRPE has the potential to require fewer photons for authentication than the amplitude-based PC-DRPE.\nIn addition, we propose an optical security method for object authentication using photon-counting encryption implemented with phase encoded QR codes. By combining the full phase double-random-phase encryption with photon-counting imaging method and applying an iterative Huffman coding technique, we are able to encrypt and compress an image containing primary information about the object. This data can then be stored inside of an optically phase encoded QR code for robust read out, decryption, and authentication. The optically encoded QR code is verified by examining the speckle signature of the optical masks using statistical analysis. Optical experimental results are presented to demonstrate the performance of the system. In addition, experiments with a commercial Smartphone to read the optically encoded QR code are presented. To the best of our knowledge, this is the first report on integrating photon-counting security with optically phase encoded QR codes.