X Chai, J Fu, Z Gan, Y Lu, Y Zhang - Nonlinear Dynamics, 2022 - Springer
Visually meaningful image encryption may keep the data security and appearance security of the digital images. However, there are still security and efficiency shortcomings existing in …
Z Hua, Z Zhu, Y Chen, Y Li - Nonlinear Dynamics, 2021 - Springer
Recently, many image encryption schemes have been developed using Latin squares. When encrypting a color image, these algorithms treat the color image as three greyscale …
Recently, some visually secure image encryption schemes using compressive sensing (CS) have been developed to protect images with visual security, where the images are first …
L Zhu, D Jiang, J Ni, X Wang, X Rong, M Ahmad… - Signal Processing, 2022 - Elsevier
In order to safely and covertly protect the digital image information during public channel transmission and localized storage, a stable image visually secure encryption algorithm by …
L Zhu, H Song, X Zhang, M Yan, T Zhang, X Wang… - Signal Processing, 2020 - Elsevier
In this paper, an efficient and robust meaningful image encryption (MIE) scheme is developed by combining block compressive sensing (BCS) and singular value …
Q Xu, K Sun, S He, C Zhu - Optics and Lasers in Engineering, 2020 - Elsevier
This paper presents an image encryption algorithm based on the compressive sensing and a hyperchaotic map, which includes the permutation, compression and diffusion processes …
KM Hosny, ST Kamal, MM Darwish - Multimedia Tools and Applications, 2022 - Springer
Images are very important forms of data that are widely used nowadays. Every day, millions of grey and color images are transferred via the web. Protecting these images from …
Y Zhou, C Li, W Li, H Li, W Feng, K Qian - Nonlinear dynamics, 2021 - Springer
This paper introduces an image encryption algorithm shorted as CITSPD, manipulated by circle index table scrambling and partition diffusion. Firstly, the circle index table is obtained …
W Wen, Y Hong, Y Fang, M Li, M Li - Signal Processing, 2020 - Elsevier
In traditional compressed sensing (CS), the measurement matrix always faces problems such as large data storage, high memory usage and a large amount of data calculation. To …