Visually secure encryption embedded with multiple types of images using semi-tensor product compressed sensing

被引:1
作者
Fu, Jianzhao [1 ]
Guo, Peilian [1 ]
机构
[1] Shandong Normal Univ, Sch Informat Sci & Engn, 1 Daxue Rd, Jinan 250358, Peoples R China
基金
中国国家自然科学基金;
关键词
visual security; semi-tensor product compressed sensing; image encryption; chaotic system; CHAOTIC SYSTEM; ALGORITHM;
D O I
10.1088/1402-4896/ad5e45
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
An image encryption scheme with visual security is designed by combining the semi-tensor product compressed sensing (STP-CS) with multi-embedding strategy. Specifically, the optimized measurement matrix is firstly generated by chaotic system and singular value decomposition (SVD), and the optimized measurement matrix is used to obtain the measurement value matrix by STP-CS operation on the color image. Next, the reorganized measurement value matrix is scrambled and diffused with the key matrix generated by 2D Logistic-Sine-coupling map (2D-LSCM) to obtain the noise-like encrypted image. Finally, an image embedding method is introduced to embed the compressed noise-like encrypted image into a color or grayscale carrier image to obtain a visually secure color or grayscale encrypted image. SHA-256 is used to generate the initial values of chaotic systems, which are embedded into the carrier image to effectively reduce transmission and storage. The simulation results show that the visually secure encryption scheme is more reliable and outperforms other encryption algorithms.
引用
收藏
页数:18
相关论文
共 34 条
  • [21] Shakir H R., 2023, International Journal of Electrical and Computer Engineering, V13, P1744, DOI [10.11591/ijece.v13i2.pp1744-1756, DOI 10.11591/IJECE.V13I2.PP1744-1756]
  • [22] A visually secure image encryption scheme based on parallel compressive sensing
    Wang, Hui
    Xiao, Di
    Li, Min
    Xiang, Yanping
    Li, Xinyan
    [J]. SIGNAL PROCESSING, 2019, 155 : 218 - 232
  • [23] An image encryption scheme using a chaotic neural network and a network with multistable hyperchaos
    Wang, Shuying
    Hong, Ling
    Jiang, Jun
    [J]. OPTIK, 2022, 268
  • [24] Optical image encryption and authentication using phase-only computer-generated hologram
    Wang, Wenqi
    Wang, Xiaogang
    Xu, Bijun
    Chen, Junlang
    [J]. OPTICS AND LASERS IN ENGINEERING, 2021, 146
  • [25] An image encryption algorithm based on hyperchaotic system and DNA coding
    Wang, Xingyuan
    Zhao, Maochang
    [J]. OPTICS AND LASER TECHNOLOGY, 2021, 143
  • [26] Image encryption algorithm based on the matrix semi-tensor product with a compound secret key produced by a Boolean network
    Wang, Xingyuan
    Gao, Suo
    [J]. INFORMATION SCIENCES, 2020, 539 : 195 - 214
  • [27] Image encryption algorithm for synchronously updating Boolean networks based on matrix semi-tensor product theory
    Wang, Xingyuan
    Gao, Suo
    [J]. INFORMATION SCIENCES, 2020, 507 : 16 - 36
  • [28] Semi-tensor compressed sensing
    Xie, Dong
    Peng, Haipeng
    Li, Lixiang
    Yang, Yixian
    [J]. DIGITAL SIGNAL PROCESSING, 2016, 58 : 85 - 92
  • [29] Optical image encryption and authentication scheme based on partial joint power spectrum and phase-retrieval technique
    Xiong, Y.
    Du, J.
    Quan, C.
    [J]. OPTICS AND LASERS IN ENGINEERING, 2020, 134
  • [30] Algebraic method of simplifying Boolean networks using semi-tensor product of Matrices
    Yan, Yongyi
    Yue, Jumei
    Chen, Zengqiang
    [J]. ASIAN JOURNAL OF CONTROL, 2019, 21 (06) : 2569 - 2577