Title: An efficient crypto-compression scheme for medical images by selective encryption using DCT

Authors: Med Karim Abdmouleh; Hedi Amri; Ali Khalfallah; Med Salim Bouhlel

Addresses: Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia ' Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia ' Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia ' Sciences and Technologies of Image and Telecommunications, Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia

Abstract: Nowadays, modern communication inevitably uses computer networks. The images transmitted across these networks are special because of their large amount of information. Thus, the use of the information technology in the medical field generates many applications (especially telemedicine) where the exchange of medical information remains the foundation of their success. The transmission of these images raises a large number of unresolved problems. The efficiency of a transmission network depends, on the one hand, on the degree of security and, on the other hand, on the times of transmission and archiving. These requirements can be satisfied by encryption and compression. This work presents a method of a partial or selective encryption for medical images. It is based on the encryption of some quantified discrete cosine transform (DCT) coefficients in low and high frequencies. The results of several experiments show that the proposed scheme provides a significant reduction of the processing time during the encryption and decryption, without tampering the high compression rate of the compression algorithm.

Keywords: crypto-compression; medical image; telemedicine; discrete cosine transform; DCT; RSA.

DOI: 10.1504/IJAIP.2019.099942

International Journal of Advanced Intelligence Paradigms, 2019 Vol.13 No.1/2, pp.32 - 42

Received: 24 Aug 2016
Accepted: 04 Oct 2016
Published online: 29 May 2019 *

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