您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(理学版)》

《山东大学学报(理学版)》 ›› 2026, Vol. 61 ›› Issue (6): 80-94.doi: 10.6040/j.issn.1671-9352.0.2025.044

• • 上一篇    

高维广义Fibonacci变换的量子图像置乱技术

邹玮刚1,黄江燕1,曹锋2, 杨火根1   

  1. 1.江西理工大学理学院, 江西 赣州 341000;2.江西理工大学信息工程学院, 江西 赣州 341000
  • 发布日期:2026-06-04
  • 作者简介:邹玮刚(1976— ),男,副教授,研究方向数字图像处理,量子图像处理. E-mail:42587617@qq.com
  • 基金资助:
    国家自然科学基金资助项目(12161043,62366017);江西省教育厅科学技术研究项目(GJJ190462)

Quantum image scrambling technology based on high dimensional generalized Fibonacci transform

ZOU Weigang1, HUANG Jiangyan1, CAO Feng2, YANG Huogen1   

  1. 1. School of Science, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China;
    2. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China
  • Published:2026-06-04

摘要: 数字图像加密技术作为信息安全的重要分支,已成为重要的研究热点。目前图像加密多采用低维几何变换,低维几何变换具有小周期性,元素值较为固定,难以抵御穷举攻击,而高维几何变换却不容易构造。本文受二维Fibonacci变换和三维类Fibonacci变换的启发,提出一种基于高维广义Fibonacci变换的量子图像置乱算法。首先,基于等比数列原理,构造两个行列式等于1的特殊高维整数矩阵,使用矩阵操作得到高维广义Fibonacci变换矩阵。其次,由于高维几何变换的大周期性,使用变换的周期性进行解密并不可行,因此构造了高维广义Fibonacci变换的逆变换。最后,基于新型增强量子图像表示模型(novel enhanced quantum representation, NEQR),本文将高维广义Fibonacci变换及其逆变换分别用于量子图像加密和解密过程中。本文算法变换公式多样灵活,可以得到维度很高的加密矩阵。以8位灰度图像加密为例,验证了算法的能行性。仿真实验表明,该算法加密解密效果良好,密钥空间巨大,密钥的随机性较强,具有很好的抗攻击能力。

关键词: 信息安全, 量子图像加密, 量子图像表示模型, 高维几何变换, 等比数列, 广义Fibonacci变换

Abstract: As an important branch of information security, digital image encryption technology has become a major research hotspot. At present, most image encryption schemes adopt low-dimensional geometric transformations, which suffer from small periodicity and relatively fixed element values, making them difficult to resist exhaustive attacks. In contrast, high-dimensional geometric transformations are not easy to construct. Inspired by the two-dimensional Fibonacci transform and the three-dimensional Fibonacci-like transform, this paper proposes a quantum image scrambling algorithm based on high-dimensional generalized Fibonacci transforms. First, according to the principle of geometric sequences, two special high-dimensional integer matrices with determinant equal to 1 are constructed, and the high-dimensional generalized Fibonacci transform matrix is obtained via matrix operations. Second, due to the large periodicity of high-dimensional geometric transformations, decryption by directly using the periodicity is infeasible; therefore, the inverse transform of the high-dimensional generalized Fibonacci transform is constructed. Finally, based on the novel enhanced quantum representation(NEQR)model, the high-dimensional generalized Fibonacci transform and its inverse are applied to the quantum image encryption and decryption processes, respectively. The proposed algorithm features flexible and diverse transformation formulas and can generate high-dimensional encryption matrices. Taking 8-bit grayscale image encryption as an example, the effectiveness of the algorithm is verified. Simulation results show that the algorithm achieves satisfactory encryption and decryption effects, has a large key space and strong key randomness, and exhibits good resistance against attacks.

Key words: information security, quantum image encryption, quantum image representation model, high-dimensional geometric transformation, geometric progression, generalized Fibonacci transformation

中图分类号: 

  • TP391
[1] 贾静雯,张钊,周红艳,等. 双超混沌系统结合压缩感知和Fibonacci变换的彩色图像加密[J]. 光学精密工程,2025,33(4):624-640. JIA Jingwen, ZHANG Zhao, ZHOU Hongyan, et al. Double hyperchaotic systems combine compressed sensing and Fibonacci transform for color image encryption[J]. Optics and Precision Engineering, 2025, 33(4):624-640.
[2] LIU Huipeng, TENG Lin, ZHANG Yijia, et al. Multi-medical image encryption by a new spatiotemporal chaos model and DNA new computing for information security[J]. Expert Systems with Applications, 2024, 235:121090.
[3] SONG Wei, FU Chong, ZHENG Yu, et al. A parallel image encryption algorithm using intra bitplane scrambling[J]. Mathematics and Computers in Simulation, 2023, 204:71-88.
[4] ZHOU Shuang, WEI Yi, ZHANG Yingqian, et al. Image encryption algorithm based on the dynamic RNA computing and a new chaotic map[J]. Integration, 2025, 101(3):102336.
[5] 孙劲光,汪洁,孟祥福. 改进的Fibonacci双置乱图像加密算法[J]. 计算机科学,2012,39(11):249-253. SUN Jinguang, WANG Jie, MENG Xiangfu. Improved image encryption algorithm based on double scrambling of Fibonacci transforms[J]. Computer Science, 2012, 39(11):249-253.
[6] 邹玮刚,刘辉. 基于三维类Fibonacci变换的数字图像置乱技术及周期性[J]. 计算机与数字工程,2007,35(9):133-135. ZOU Weigang, LIU Hui. Digital image scrambling technology based on three dimension similar fibonacci transformation and its periodicity[J]. Computer and Engineering Lnstitute, 2007, 35(9):133-135.
[7] 王倩,于来行,曹彦,等. 基于Fibonacci置乱的小波域数字图像盲水印算法[J]. 计算机科学,2018,45(6):135-140. WANG Qian, YU Laihang, CAO Yan, et al. Blind watermarking algorithm for digital image based on Fibonacci scrambling in wavelet domain[J]. Computer Science, 2018,45(6):135-140.
[8] 郭现峰,李浩华,魏金玉. 基于Fibonacci变换和改进Logistic-Tent混沌映射的图像加密方案[J]. 吉林大学学报(工学版),2023,53(7):2115-2120. GUO Xianfeng, LI Haohua, WEI Jinyu. Image encryption scheme based on Fibonacci transform and improved Logistic-Tent chaotic map[J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7):2115-2120.
[9] CHEN Zekai, SHA Min, WEI Chen. On the generalized Fibonacci sequences of polynomials over finite fields[J]. Finite Fields and Their Applications, 2024, 97(8):102446.
[10] 刘兴奥,周日贵,郭文宇. 量子线性卷积及其在图像处理中的应用[J]. 自动化学报,2022,48(6):1504-1519. LIU Xingao, ZHOU Rigui, GUO Wenyu. Quantum linear convolution and its application in image processing[J]. Acta Automatica Sinica, 2022,48(6):1504-1519.
[11] 李盼池,张亚奇. 基于大津阈值的量子图像分割方法[J]. 计算机工程与设计,2024,45(8):2442-2453. LI Panchi, ZHANG Yaqi. Quantum image segmentation method based on Otsu threshold[J]. Computer Engineering and Design, 2024, 45(8):2442-2453.
[12] 杨宇光,王嘉伟. 基于SHA-256和Arnold映射的量子Logistic映射图像加密算法[J]. 安徽大学学报(自然科学版),2024,48(1):35-42. YANG Yuguang, WANG Jiawei. Quantum logistic map image encryption algorithm based on SHA-256 and Arnold map[J]. Journal of Anhui University(Natural Science), 2024, 48(1):35-42.
[13] 刘兴斌,刘聪. 基于级联混沌系统和量子Baker映射的图像加密算法[J]. 信息网络安全,2023,23(12):49-58. LIU Xingbin, LIU Cong. Image encryption algorithm based on cascade Chaotic system and quantum Baker map[J]. Netinfo Security, 2023, 23(12):49-58.
[14] 谢国波,杨彬. 基于Baker映射和量子混沌的图像加密算法[J]. 计算机应用与软件,2016,33(12):318-320,333. XIE Guobo, YANG Bin. Image encryption algorithm based on Baker mapping and quantum chaos[J]. Computer Applications and Software, 2016, 33(12):318-320,333.
[15] REHMAN M U. Quantum-enhanced chaotic image encryption: strengthening digital data security with 1-D sine-based chaotic maps and quantum coding[J]. Journal of King Saud University-Computer and Information Sciences, 2024, 36(3):101980.
[16] GAO Yajun, XIE Hongwei, ZHANG Jun, et al. A novel quantum image encryption technique based on improved controlled alternated quantum walks and hyperchaotic system[J]. Physica A: Statistical Mechanics and its Applications, 2022, 598(7):127334.
[17] 徐嘉诚,汪涛. 基于五维超混沌系统与Arnold变换的图像加密算法[J]. 湖北民族大学学报(自然科学版),2024,42(4):486-493,550. XU Jiacheng, WANG Tao. Image encryption algorithm based on five-dimensional hyperchaotic system and Arnold transform[J]. Journal of Hubei Minzu University(Natural Science Edition), 2024, 42(4):486-493,550.
[18] 石金晶,陈添,陈淑慧,等. 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. SHI Jinjing, CHEN Tian, CHEN Shuhui, et al. Quantum image chaotic cryptography scheme based on Arnold transforms[J]. Journal of Electronics & Information Technology, 2022, 44(12):4284-4293.
[19] ZHANG Yi, LU Kai, GAO Yinghui, et al. NEQR: a novel enhanced quantum representation of digital images[J]. Quantum Information Processing, 2013, 12(8):2833-2860.
[20] 刘志伟,刘雷波,黄海,等. 面向多曲线的通用高性能ECC处理器设计[J]. 电子学报,2023,51(6):1562-1571. LIU Zhiwei, LIU Leibo, HUANG Hai, et al. Multi-curve-oriented general high-performance ECC processor design[J]. Acta Electronica Sinica, 2023, 51(6):1562-1571.
[21] NOROUZI B, SEYEDZADEH S M, MIRZAKUCHAKI S, et al. A novel image encryption based on row-column, masking and main diffusion processes with hyper chaos[J]. Multimedia Tools and Applications, 2015, 74(3):781-811.
[22] 刘帅,邓文博,刘福才. 基于超混沌的三层量子图像加密算法研究[J]. 高技术通讯,2023,33(2):167-175. LIU Shuai, DENG Wenbo, LIU Fucai. Research on three-layer quantum image encryption algorithm based on hyperchaos[J]. Chinese High Technology Letters, 2023, 33(2):167-175.
[23] 高若云,白牡丹,黄佳鑫,等. 基于多混沌系统的多图像加密算法[J]. 计算机系统应用,2024,33(3):170-177. GAO Ruoyun, BAI Mudan, HUANG Jiaxin, et al. Multi-image encryption algorithm based on multi-chaotic system[J]. Computer Systems & Applications, 2024, 33(3):170-177.
[24] 徐昌彪,许浩南,明志飞. 基于二维离散混沌系统和DNA的图像加密方案[J]. 西南交通大学学报,2024,59(3):528-538. XU Changbiao, XU Haonan, MING Zhifei. Image encryption scheme based on 2D discrete chaotic system and deoxyribonucleic acid[J]. Journal of Southwest Jiaotong University, 2024, 59(3):528-538.
[25] 郭媛,贾德宝,王充,等. 基于改进Logistic混沌和交叉混沌扩散的强鲁棒性图像加密[J]. 信息安全学报,2024,9(5):217-228. GUO Yuan, JIA Debao, WANG Chong, et al. Robust image encryption based on improved Logistic chaos and cross-chaos diffusion[J]. Journal of Cyber Security, 2024, 9(5):217-228.
[26] 牛士铭,薛茹,丁聪. 基于改进型3D_Henon混沌映射的彩色图像加密方法[J]. 计算机工程与科学,2024,46(4):657-666. NIU Shiming, XUE Ru, DING Cong. A color image encryption method based on improved 3D_Henon chaos mapping[J]. Computer Engineering & Science, 2024, 46(4):657-666.
[27] 赵桥,李博,项融融. 基于混沌系统和动态DNA编码的彩色图像加密算法[J]. 计算机测量与控制,2024,32(3):319-326. ZHAO Qiao, LI Bo, XIANG Rongrong. Color image encryption algorithm based on chaos system and dynamic DNA encoding[J]. Computer Measurement & Control, 2024, 32(3):319-326.
[28] 陈云,罗成,许璐,等. 基于联合置乱的高维超混沌图像加密算法[J]. 海军工程大学学报,2024,36(5):74-79. CHEN Yun, LUO Chen, XU Lu, et al. High dimensional hyperchaotic image encryption algorithm based on joint scrambling[J]. Journal of Naval University of Engineering, 2024, 36(5):74-79.
[29] 孙燮华. 图像加密算法与实践: 基于C#语言实现[M]. 北京:科学出版社,2013:320-321. SUN Xiehua. Image encryption algorithms and practices with implementations in C#[M]. Beijing: Science Press, 2013:320-321.
[30] 李俊山. 数字图像处理: MATLAB算法设计与解译[M]. 北京:清华大学出版社,2024:183. LI Junshan. Digital image processing: MATLAB algorithm design and interpretation[M]. Beijing: Tsinghua University Press, 2024:183.
[31] 洪炎,王艺杭,苏静明,等. 基于行列异或的Arnold双置乱图像加密方法[J]. 科学技术与工程,2024,24(2):649-657. HONG Yan, WANG Yihang, SU Jingming, et al. Arnold dual-scrambling image encryption based on rows and columns bitwise exclusive OR operation[J]. Science Technology and Engineering, 2024, 24(2):649-657.
[32] 焦晨光,张小波. 一种改进的基于结构相似性的非局部均值图像去噪算法[J]. 智能计算机与应用,2025,15(2):17-23. JIAO Chenguang, ZHANG Xiaobo. Based on structural similarity improved non-local means image denoising algorithm[J]. Intelligent Computer and Applications, 2025, 15(2):17-23.
[1] 李守伟,史开泉. 逆分离模糊集合((-overA)F,(-overA)(-overF))与模糊信息安全获取[J]. 《山东大学学报(理学版)》, 2022, 57(9): 1-14.
[2] 徐江珮,王晋,刘畅,周亮,龙凤. 电动汽车充电桩CAN总线协议的安全检测[J]. 《山东大学学报(理学版)》, 2020, 55(5): 95-104.
[3] 李妮,关焕梅,杨飘,董文永. 基于BERT-IDCNN-CRF的中文命名实体识别方法[J]. 《山东大学学报(理学版)》, 2020, 55(1): 102-109.
[4] 丁义涛,杨海滨,杨晓元,周潭平. 一种同态密文域可逆隐藏方案[J]. 山东大学学报(理学版), 2017, 52(7): 104-110.
[5] 康海燕,马跃雷. 差分隐私保护在数据挖掘中应用综述[J]. 山东大学学报(理学版), 2017, 52(3): 16-23.
[6] 吴志军,沈丹丹. 基于信息综合集成共享的下一代网络化全球航班追踪体系结构及关键技术[J]. 山东大学学报(理学版), 2016, 51(11): 1-6.
[7] 张晶, 薛冷, 崔毅, 容会, 王剑平. 基于无线传感器网络的双混沌数据加密算法建模与评价[J]. 山东大学学报(理学版), 2015, 50(03): 1-5.
[8] 康海燕, 杨孔雨, 陈建明. 于K-匿名的个性化隐私保护方法研究[J]. 山东大学学报(理学版), 2014, 49(09): 142-149.
[9] 黄景文. 信息安全风险因素分析的模糊群决策方法研究[J]. J4, 2012, 47(11): 45-49.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!