李勇, 荀显超, 王青竹. 基于高维张量奇异值分解的图像加密[J]. 红外与激光工程, 2014, 43(S1): 243-247.
引用本文: 李勇, 荀显超, 王青竹. 基于高维张量奇异值分解的图像加密[J]. 红外与激光工程, 2014, 43(S1): 243-247.
Li Yong, Xun Xianchao, Wang Qingzhu. Image encryption based on higher-order singular value decomposition[J]. Infrared and Laser Engineering, 2014, 43(S1): 243-247.
Citation: Li Yong, Xun Xianchao, Wang Qingzhu. Image encryption based on higher-order singular value decomposition[J]. Infrared and Laser Engineering, 2014, 43(S1): 243-247.

基于高维张量奇异值分解的图像加密

Image encryption based on higher-order singular value decomposition

  • 摘要: 现有基于奇异值分解(SVD)的彩色信息加密系统提供了一种光学矩阵分解方案、安全的密文和敏感的密钥.高维张量奇异值分解(HOSVD)是SVD矩阵的自然线性延伸,提出了一种基于HOSVD的彩色图像加密算法.在加密过程中,HOSVD比SVD提供了更多的密文乘法组合次序.这些乘法组合次序可以有效地增加未经授权的解密难度.在解密过程中,HOSVD的重建精度比SVD更高.这些优点提高了准确性、安全性和鲁棒性.通过对100个图像测试数据集的计算机仿真验证了该算法的可行性.

     

    Abstract: The existing Singular Value Decomposition (SVD) based color information encryption system provided an optical matrix composition scheme, secure ciphertexts and very sensitive keys. As the Higher-order SVD (HOSVD) is a natural multi-linear extension of the matrix SVD, an HOSVD based color image encryption algorithm was proposed. In the encryption procedure, HOSVD can generate more multiplication orders of the ciphertexts (decomposition parts) than what SVD provides. These multiplication orders can be used as effective keys to make unauthorized decryption harder. In the decryption procedure, the reconstruction accuracy of HOSVD is higher than that of SVD. These advantages enhance the accuracy, security and robustness. Numerical simulations based on a test dataset of 100 images support the viability of the proposed algorithm.

     

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