Zhang Bin, Rahmatullah Bahbibi, Wang Shir Li, Liu Zhaoyan
Data Intelligence and Knowledge Management, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University (UPSI), Tanjong Malim, Perak Malaysia.
School of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
Multimed Tools Appl. 2023;82(10):15735-15762. doi: 10.1007/s11042-022-13744-9. Epub 2022 Sep 23.
Modern medical examinations have produced a large number of medical images. It is a great challenge to transmit and store them quickly and securely. Existing solutions mainly use medical image encryption algorithms, but these encryption algorithms, which were developed for ordinary images, are time-consuming and must cope with insufficient security considerations when encrypting medical images. Compared with ordinary images, medical images can be divided into the region of interest and the region of background. In this paper, based on this characteristic, a plain-image correlative semi-selective medical image encryption algorithm using the enhanced two dimensional Logistic map was proposed. First, the region of interest of a plain medical image is permuted at the pixel level, then for the whole medical image, substitution is performed pixel by pixel. An ideal compromise between encryption speed and security can be achieved by full-encrypting the region of interest and semi-encrypting the region of background. Several main types of medical images and some normal images were selected as the samples for simulation, and main image cryptanalysis methods were used to analyze the results. The results showed that the cipher-images have a good visual quality, high information entropy, low correlation between adjacent pixels, as well as uniformly distribute histogram. The algorithm is sensitive to the initial key and plain-image, and has a large keyspace and low time complexity. The time complexity is lower when compared with the current medical image full encryption algorithm, and the security performance is better when compared with the current medical image selective encryption algorithm.
现代医学检查产生了大量的医学图像。快速且安全地传输和存储这些图像是一项巨大的挑战。现有的解决方案主要使用医学图像加密算法,但这些为普通图像开发的加密算法耗时较长,并且在加密医学图像时存在安全考虑不足的问题。与普通图像相比,医学图像可分为感兴趣区域和背景区域。本文基于这一特性,提出了一种使用增强型二维逻辑斯谛映射的明文图像相关半选择性医学图像加密算法。首先,对明文医学图像的感兴趣区域在像素级别进行置乱,然后对整个医学图像逐像素进行替换。通过对感兴趣区域进行全加密和对背景区域进行半加密,可以在加密速度和安全性之间实现理想的折衷。选择了几种主要类型的医学图像和一些普通图像作为模拟样本,并使用主要的图像密码分析方法对结果进行分析。结果表明,加密后的图像具有良好的视觉质量、高信息熵、相邻像素间的低相关性以及均匀分布的直方图。该算法对初始密钥和明文图像敏感,具有较大的密钥空间和较低的时间复杂度。与当前的医学图像全加密算法相比,其时间复杂度更低,与当前的医学图像选择性加密算法相比,其安全性能更好。