Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach. (9th August 2015)

• Record Type: Journal Article
• Authors: Zhang, Li-bo; Zhu, Zhi-liang; Yang, Ben-qiang; Liu, Wen-yuan; Zhu, Hong-feng; Zou, Ming-yu
• Other Names: Sadarangani Kishin Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-08-09
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/940638
• Languages: English
• ISSNs: 1024-123X

Abstract

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.