Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms

SHI Jinjing; CHEN Tian; CHEN Shuhui; LI Qin; SHI Ronghua

doi:10.11999/JEIT211143

Volume 44 Issue 12

Dec. 2022

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SHI Jinjing, CHEN Tian, CHEN Shuhui, LI Qin, SHI Ronghua. Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4284-4293. doi: 10.11999/JEIT211143

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SHI Jinjing, CHEN Tian, CHEN Shuhui, LI Qin, SHI Ronghua. Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4284-4293. doi: 10.11999/JEIT211143

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Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms

doi: 10.11999/JEIT211143

1.
School of Computer Science and Engineering, Central South University, Changsha 410083, China
2.
School of Computer Science and Engineering, Xiangtan University, Xiangtan 411105, China

Funds: The National Natural Science Foundation of China (61972418, 61872390), The Natural Science Foundation of Hunan Province (2020JJ4750), The Special Foundation for Distinguished Young Scientists of Changsha (kq1905058), CCF-Baidu Open Fund (2021PP15002000)

Received Date: 2021-10-18
Accepted Date: 2022-01-14
Rev Recd Date: 2022-01-08

Available Online: 2022-02-02

Publish Date: 2022-12-16

Abstract

Abstract

For improving the resolution of quantum decrypted image and computation complexity under the premise of ensuring quantum image cryptography algorithm security, an approach to quantum image chaotic encryption scheme based on Arnold transforms is proposed. In the paper, the chaotic signals generated by quantum cellular neural network are applied to control quantum Arnold transforms, quantum SWAP and quantum Controlled NOT (CNOT) operations which are utilized to process the plain quantum image to obtain the corresponding cipher image. Theoretical analyses show that the advantages of high security, fine resolution of decrypted images and considerable computation complexity are all presented in the proposed quantum gray image encryption scheme.
- Quantum image cryptography,
- Quantum cellular neural network,
- Quantum chaotic system,
- Quantum Arnold transform

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References(38)

References

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