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Efficient Compression Schemes for Double Random Phase-encoded Data for Image Authentication

  • Gholami, Samaneh (Department of Computer Engineering, Chosun University) ;
  • Jaferzadeh, Keyvan (Department of Robotics Engineering, DGIST) ;
  • Shin, Seokjoo (Department of Computer Engineering, Chosun University) ;
  • Moon, Inkyu (Department of Robotics Engineering, DGIST)
  • Received : 2019.03.28
  • Accepted : 2019.06.27
  • Published : 2019.10.25

Abstract

Encrypted images obtained through double random phase-encoding (DRPE) occupy considerable storage space. We propose efficient compression schemes to reduce the size of the encrypted data. In the proposed schemes, two state-of-art compression methods of JPEG and JP2K are applied to the quantized encrypted phase images obtained by combining the DRPE algorithm with the virtual photon counting imaging technique. We compute the nonlinear cross-correlation between the registered reference images and the compressed input images to verify the performance of the compression of double random phase-encoded images. We show quantitatively through experiments that considerable compression of the encrypted image data can be achieved while security and authentication factors are completely preserved.

Keywords

Optical security and encryption;Double random phase encoding;Image cryptography;Pattern recognition

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)