Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (3): 1060-1066.doi: 10.13229/j.cnki.jdxbgxb20200521

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Learning optical image encryption scheme based on CycleGAN

Jin-qing LI1,2(),Jian ZHOU1,2,Xiao-qiang DI1,2,3   

  1. 1.School of Computer Science and Technology，Changchun University of Science and Technology，Changchun 130022，China
    2.Jilin Province Key Laboratory of Network and Information Security，Changchun University of Science and Technology，Changchun 130022，China
    3.Information Center，Changchun University of Science and Technology，Changchun 130022，China
  • Received:2020-07-11 Online:2021-05-01 Published:2021-05-07

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Abstract:

To overcome the problem that the effect of optical image encryption is limited by the processing technology of the optical encryption devices and the manufacturing process of the random phase mask is complicated， in this paper， an optical image encryption learning scheme based on cycle-consistent adversarial networks （CycleGAN） is proposed. Firstly， the classic double random phase encoding is used to encrypt the plain image to generate a plain-cipher training set. Secondly， the training set is input to CycleGAN to automatically learn the encryption characteristics of optical image encryption to obtain an optical image encryption learning model. Finally， encryption and decryption performance tests are carried out by simulation experiments on the images generated by the learning encryption mechanism of CycleGAN. Data analysis shows that this scheme can effectively protect the security of image information and recover ciphertext images well. In addition， the encryption performance is not limited by optical encryption equipment， which can realize the rapid encryption of batches of images.

Key words: image security, cycle-consistent adversarial networks, deep learning, optical image encryption, double random phase encoding

CLC Number: 

  • TP391

Fig.1

Workflow of double random phase encoding"

Fig.2

Schematic diagram of cycle-consistentadversarial networks"

Fig.3

Optical image encryption/decryptionscheme based on CycleGAN"

Fig.4

Experimental results"

Fig.5

Histogram analysis"

Fig.6

Correlation analysis"

Table 1

Correlation coefficients of cipher images"

图像水平相关性垂直相关性对角相关性
图4(a1)0.08770.13790.0349
图4(a2)0.15450.10020.0261
图4(a3)0.12960.12490.0483
图4(a4)0.13570.15250.0074

Fig.7

PSNR of the plain images and cipher images"

Fig.8

Analysis of decryption effect"

Table 2

Analysis of encryption/decryption speed"

图像数量图像大小加密时间/s解密时间/s
100256×2564.38934.3905
1000256×25616.841916.7958
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