Pourasad Yaghoub, Ranjbarzadeh Ramin, Mardani Abbas
Department of Electrical Engineering, Urmia University of Technology, Urmia 57561-51818, Iran.
Department of Telecommunications Engineering, Faculty of Engineering, University of Guilan, Rasht 45371-38791, Iran.
Entropy (Basel). 2021 Mar 13;23(3):341. doi: 10.3390/e23030341.
In recent decades, image encryption, as one of the significant information security fields, has attracted many researchers and scientists. However, several studies have been performed with different methods, and novel and useful algorithms have been suggested to improve secure image encryption schemes. Nowadays, chaotic methods have been found in diverse fields, such as the design of cryptosystems and image encryption. Chaotic methods-based digital image encryptions are a novel image encryption method. This technique uses random chaos sequences for encrypting images, and it is a highly-secured and fast method for image encryption. Limited accuracy is one of the disadvantages of this technique. This paper researches the chaos sequence and wavelet transform value to find gaps. Thus, a novel technique was proposed for digital image encryption and improved previous algorithms. The technique is run in MATLAB, and a comparison is made in terms of various performance metrics such as the Number of Pixels Change Rate (NPCR), Peak Signal to Noise Ratio (PSNR), Correlation coefficient, and Unified Average Changing Intensity (UACI). The simulation and theoretical analysis indicate the proposed scheme's effectiveness and show that this technique is a suitable choice for actual image encryption.
近几十年来,图像加密作为重要的信息安全领域之一,吸引了众多研究人员和科学家。然而,已经采用了多种不同方法进行了多项研究,并提出了新颖且实用的算法来改进安全图像加密方案。如今,混沌方法已在诸如密码系统设计和图像加密等不同领域中被发现。基于混沌方法的数字图像加密是一种新颖的图像加密方法。该技术使用随机混沌序列对图像进行加密,是一种用于图像加密的高度安全且快速的方法。精度有限是该技术的缺点之一。本文研究混沌序列和小波变换值以找出差距。因此,提出了一种用于数字图像加密的新颖技术,并改进了先前的算法。该技术在MATLAB中运行,并根据诸如像素变化率(NPCR)、峰值信噪比(PSNR)、相关系数和统一平均变化强度(UACI)等各种性能指标进行了比较。仿真和理论分析表明了所提方案的有效性,并表明该技术是实际图像加密的合适选择。