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A visually secure image encryption scheme based on compressive sensing

机译:基于压缩感测的视觉安全图像加密方案

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摘要

A novel visually secure image encryption scheme based on compressive sensing (CS) is proposed. Firstly, the plain image is transformed into wavelet coefficients, and then confused by a zigzag path and encrypted into a compressed cipher image using compressive sensing. Next, the cipher image is embedded into a carrier image, and finally a visually secure cipher image is obtained. SHA 256 hash function of the original image is generated to calculate the parameters for zigzag confusion and one-dimensional skew tent map, and the map is used to produce the measurement matrix for CS. Therefore, the proposed algorithm is highly sensitive to the plain image, and it can effectively withstand known-plaintext and chosen-plaintext attacks. Besides, our algorithm can achieve the image data security and image appearance security simultaneously, and the size of the cipher image and original image is equal, it does not require additional transmission bandwidth and storage space. Simulation results and performance analyses both demonstrate excellent encryption performance of the proposed encryption scheme.
机译:提出了一种基于压缩感知(CS)的视觉安全图像加密新方案。首先,将普通图像转换为小波系数,然后通过之字形路径进行混淆,并使用压缩感测将其加密为压缩密码图像。接下来,将密码图像嵌入到载体图像中,最后获得视觉上安全的密码图像。生成原始图像的SHA 256哈希函数,以计算锯齿形混淆和一维倾斜帐篷图的参数,并使用该图生成CS的测量矩阵。因此,该算法对普通图像具有很高的敏感性,可以有效抵御已知明文和选择明文的攻击。此外,我们的算法可以同时实现图像数据的安全性和图像外观的安全性,并且密码图像和原始图像的大小相等,不需要额外的传输带宽和存储空间。仿真结果和性能分析均证明了所提出的加密方案具有出色的加密性能。

著录项

  • 来源
    《Signal processing》 |2017年第5期|35-51|共17页
  • 作者单位

    School of Computer and Information Engineering, Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China,Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261, United States;

    School of Software, Henan University, Kaifeng 475004, China;

    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261, United States;

    School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image encryption; Compressive sensing (CS); Image appearance security; Skew tent map;

    机译:图像加密;压缩感测(CS);图像外观安全;倾斜帐篷地图;

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