基于广义混沌理论和DNA计算的压缩感知图像加密方案

IMAGE ENCRYPTION SCHEME OF COMPRESSED SENSING BASED ON GENERALIZED CHAOTIC THEORY AND DNA COMPUTING

  • 摘要: 为了提高彩色图像加密的安全性和实时应用,提出一种基于广义混沌逻辑和DNA计算的图像加密方案。进行压缩感知操作,并利用logistic映射的高效置乱技术进行加密,以缩小对实时图像进行置乱的混沌值向量规模。为了增加密文图像的随机性,利用DNA编码规则将每个数值转换为8位十进制像素值,且计算量级为轻量级。实验结果表明,所提方案能够抵御各种统计攻击、差分攻击、数据丢失攻击等。其中:平均净像素变化率(NPCR)为99.6398%,统一平均变化强度(UACI)为34.5201%。与其他优秀方案相比,所提方案综合性能更佳。

     

    Abstract: To improve security and real-time application of image encryption, an image encryption scheme based on generalized chaotic logic and DNA computing is proposed. Compressed sensing operation was carried out, and Logistic mapping efficient scrambling technology was used to reduce scale of chaotic value vectors for real-time image scrambling. DNA coding rules were used to convert each value into 8-bit decimal pixel value with light calculation magnitude. User study and two objective quality metrics (temporal continuity distortion measure and significant similarity measure) were used to evaluate retargeting performance, and time consumption was compared with existing algorithms. Experimental results show that the proposed scheme can greatly reduce algorithm complexity and video retargeting time without obvious reduction of retargeting video quality.

     

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