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首页> 外文期刊>Sensing and imaging >Secure Image Block Compressive Sensing Using Chaotic DCT Sparse Basis and Partial Chaotic DHT Measurement Matrix
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Secure Image Block Compressive Sensing Using Chaotic DCT Sparse Basis and Partial Chaotic DHT Measurement Matrix

机译：使用混沌DCT稀疏基础和部分混沌DHT测量矩阵固定图像块压缩感应

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摘要

This paper proposes a secure image block compressive sensing scheme based on a key-controlled sparse basis matrix and key-controlled measurement matrix. In the proposed scheme, the original image is first divided into blocks, then inter-block scrambling is employed using the Arnold transform. Second, the resulting scrambled blocks are secure CS, which consists of a chaotic discrete cosine transform, sparse basis matrix, and a chaotic discrete Hartley transform measurement matrix, based on row scrambling with a chaotic sequence. The measured data obtained using CS is encrypted using bitwise XOR and pixel scrambling operations based on chaotic maps. The simulation results show that the application of a suitable sub block size for the proposed scheme can achieve good image reconstruction performance in terms of peak-signal to noise ratio merits when compared to the conventional chaotic measurement matrix and random measurement matrix schemes. Our proposed block secure CS can maintain the security of image data, and reduce the CS run time.
机译：本文提出了一种基于密钥控制稀疏基矩阵和密钥控制测量矩阵的安全图像块压缩检测方案。在所提出的方案中，首先将原始图像分成块，然后使用Arnold变换采用块间扰扰。其次，得到的加扰块是安全的CS，其由混沌离散余弦变换，稀疏基矩阵和混沌离散哈特利变换测量矩阵，基于具有混沌序列的行加扰。使用CS获得的测量数据使用基于混沌映射的按位XOR和像素扰扰操作来加密。仿真结果表明，与传统混沌测量矩阵和随机测量矩阵方案相比，在所提出的方案的应用于所提出的方案的合适子块尺寸的应用可以实现良好的图像重建性能。我们所提出的块安全CS可以维持图像数据的安全性，并减少CS运行时间。

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  • 来源
    《Sensing and imaging》 |2020年第1期|22.1-22.23|共23页
  • 作者

    Zhongpeng Wang; Lin Liu; Shoufa Chen; Mingkun Feng;

  • 作者单位

    School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou 310023 People’s Republic of China;

    China Information Technology Security Evaluation Center Beijing 100085 People’s Republic of China College of Electronics and Information Engineering Sichuan University Chengdu 610064 People’s Republic of China;

    School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou 310023 People’s Republic of China;

    School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou 310023 People’s Republic of China;

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

    Compressive sensing; Chaotic system; Image encryption; Image compression;

    机译：压缩感应;混沌系统;图像加密;图像压缩;

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