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基于Arnold变换的量子图像混沌加密方法
引用本文:石金晶,陈添,陈淑慧,李琴,施荣华.基于Arnold变换的量子图像混沌加密方法[J].电子与信息学报,2022,44(12):4284-4293.
作者姓名:石金晶  陈添  陈淑慧  李琴  施荣华
作者单位:1.中南大学计算机学院 长沙 4100832.湘潭大学计算机学院 湘潭 411105
基金项目:国家自然科学基金(61972418, 61872390),湖南省自然科学基金(2020JJ4750),长沙市杰出创新青年培养计划(kq1905058),CCF-百度松果基金(2021PP15002000)
摘    要:在确保量子图像密码算法安全的基础上,为进一步优化解密图像质量及计算复杂度,该文提出一种基于Arnold变换的量子图像混沌加密方案。方案使用量子细胞神经网络产生的混沌信号来控制量子Arnold变换、量子交换(SWAP)和量子控制非操作(CNOT),然后将这些操作作用于量子明文图像中以获得相应的密文图像。研究结果表明:所提量子灰度图像加密方法具有高安全性、高解密图像质量及低计算复杂度的特点。

关 键 词:量子图像密码    量子细胞神经网络    量子混沌系统    量子Arnold变换
收稿时间:2021-10-18

Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms
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.
Authors:SHI Jinjing  CHEN Tian  CHEN Shuhui  LI Qin  SHI Ronghua
Affiliation:1.School of Computer Science and Engineering, Central South University, Changsha 410083, China2.School of Computer Science and Engineering, Xiangtan University, Xiangtan 411105, China
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.
Keywords:
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