Open AccessResearch on medical image encryption in telemedicine systems
Author(s) -
Yin Dai,
Huanzhen Wang,
Zixia Zhou,
Ziyi Jin
Publication year - 2016
Publication title -
technology and health care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 44
eISSN - 1878-7401
pISSN - 0928-7329
DOI - 10.3233/thc-161166
Subject(s) - encryption , computer science , chaotic , image (mathematics) , telemedicine , digital image , chaos (operating system) , convergence (economics) , cryptography , pixel , sequence (biology) , computer vision , artificial intelligence , data mining , theoretical computer science , computer security , computer engineering , image processing , health care , economics , genetics , biology , economic growth
Recently, advances in computers and high-speed communication tools have led to enhancements in remote medical consultation research. Laws in some localities require hospitals to encrypt patient information (including images of the patient) before transferring the data over a network. Therefore, developing suitable encryption algorithms is quite important for modern medicine. This paper demonstrates a digital image encryption algorithm based on chaotic mapping, which uses the no-period and no-convergence properties of a chaotic sequence to create image chaos and pixel averaging. Then, the chaotic sequence is used to encrypt the image, thereby improving data security. With this method, the security of data and images can be improved.