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Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach

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  • Li-bo Zhang
  • Zhi-liang Zhu
  • Ben-qiang Yang
  • Wen-yuan Liu
  • Hong-feng Zhu
  • Ming-yu Zou

Abstract

This paper presents a solution to satisfy the increasing requirements for secure medical image transmission and storage over public networks. The proposed scheme can simultaneously encrypt and compress the medical image using compressive sensing (CS) and pixel swapping based permutation approach. In the CS phase, the plain image is compressed and encrypted by chaos-based Bernoulli measurement matrix, which is generated under the control of the introduced Chebyshev map. The quantized measurements are then encrypted by permutation-diffusion type chaotic cipher for the second level protection. Simulations and extensive security analyses have been performed. The results demonstrate that at a large scale of compression ratio the proposed cryptosystem can provide satisfactory security level and reconstruction quality.

Suggested Citation

  • Li-bo Zhang & Zhi-liang Zhu & Ben-qiang Yang & Wen-yuan Liu & Hong-feng Zhu & Ming-yu Zou, 2015. "Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, August.
    • Handle: RePEc:hin:jnlmpe:940638
    DOI: 10.1155/2015/940638
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    Cited by:

    1. Achraf Daoui & Haokun Mao & Mohamed Yamni & Qiong Li & Osama Alfarraj & Ahmed A. Abd El-Latif, 2023. "Novel Integer Shmaliy Transform and New Multiparametric Piecewise Linear Chaotic Map for Joint Lossless Compression and Encryption of Medical Images in IoMTs," Mathematics, MDPI, vol. 11(16), pages 1-28, August.

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