引用本文:刘峰,邵丹.基于显著像素复合矩阵的多图像同步实时加密算法[J].包装工程,2015,36(15):138-144.
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基于显著像素复合矩阵的多图像同步实时加密算法
刘峰1,2, 邵丹3
1. 成都理工大学,成都 610059;2. 四川交通职业技术学院,成都 611130;3.铁道警察学院,郑州 450000
摘要:
目的 研究基于显著像素复合矩阵的多图像同步无损实时加密算法。方法 提出引入ZigZag机制,扰乱所有明文像素位置。定义显著像素择取机制, 将置乱后的密文像素分割为显著像素与次要像素, 形成多个显著像素矩阵。设计迭代复数模型, 将这些显著像素矩阵形成复合矩阵, 借助奇异值分解与Logistic映射, 得到矩阵密钥最后构造扩散函数, 利用矩阵密钥对显著像素复合矩阵执行扩散, 获取密文。结果 文中加密机制高度安全, 且无失真, 与当前多图像加密机制相比, 文中算法的加密效率更高,可满足实时性传输需求。结论 文中算法可同时对多幅图像进行实时安全加密传输。
关键词:  多图像加密  显著像素  迭代复数模型  奇异值分解  矩阵密钥
DOI:
分类号:TB801.3
基金项目:四川省教育厅自然科学基金 (09ZA171)
Multi-image Simultaneous Real-time Encryption Algorithm Base on Notable Pixel Composite Matrix
LIU Feng1,2, SHAO Dan3
1. Chengdu University of Technology, Chengdu 610059, China;2. Vocational and Technical College of Communications,Chengdu 611130, China;3.Railway Police College, Zhengzhou 450053, China
Abstract:
The selectively multi-image lossless real time encryption based on notable pixels composite matrix was proposed in this paper. All the pixels of plaintexts was permutated by introduction of the Zigzag mechanism; then the image pixels was divided into important pixels and unimportant pixels by defining the pixels of interest selection mechanism, and the composite matrix was obtained by establishment of the iteration plural model. The key matrix was obtained using the singular value decomposition. Finally, the cipher was formed by constructing the diffusion function to diffuse the notable pixel composite matrix. This algorithm not only encrypted the image significant pixels, but also avoided the diffusion of non-significant pixel, which resulted in low complexity. The simulation results showed that this algorithm is of highly security, and belong to lossless encryption; comparison with other multi image encryption mechanism, the encryption/ decryption efficiency of this algorithm was higher to meet the requirement of real time transmission. Taken together, the above mentioned algorithm can simultaneously and real-time encrypt multiple images for transmission.
Key words:  multi-image encryption  significant pixel  iteration plural  singular value decomposition  matrix key

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