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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 940638, 9 pages
Research Article

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

1Software College, Northeastern University, Shenyang 110004, China
2Department of Radiology, The General Hospital of Shenyang Command PLA, Shenyang 110016, China

Received 13 May 2015; Revised 12 July 2015; Accepted 13 July 2015

Academic Editor: Kishin Sadarangani

Copyright © 2015 Li-bo Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.