Fast digital image encryption based on compressive sensing using structurally random matrices and Arnold transform technique

Optik ◽  
2016 ◽  
Vol 127 (4) ◽  
pp. 2282-2286 ◽  
Author(s):  
Nitin Rawat ◽  
Byoungho Kim ◽  
Rajesh Kumar
Keyword(s):  
Compressive Sensing ◽  
Random Matrices ◽  
Image Encryption ◽  
Digital Image ◽  
Arnold Transform ◽  
Digital Image Encryption

Digital Image Encryption Test System Based on FPGA and Nios II Soft Core

2021 ◽  
Vol 55 (5) ◽  
pp. 490-499
Author(s):  
Zhong-xun Wang ◽  
Kai-yue Sha ◽  
Xing-long Gao
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Test System ◽  
Soft Core ◽  
Nios Ii ◽  
Digital Image Encryption

scholarly journals New modified map for digital image encryption and its performance

2017 ◽  
Vol 893 ◽  
pp. 012050 ◽  
Author(s):  
MT Suryadi ◽  
Maria Yus Trinity Irsan ◽  
Yudi Satria
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Digital Image Encryption

scholarly journals Robust Digital Image Encryption Approach Based on Extended Large-Scale Randomization Key-Stream Generator

2018 ◽  
Vol 2 (2) ◽  
pp. 175-195
Author(s):  
Raghad Yousif ◽  
Ayad Ismaeel
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Large Scale ◽  
Stream Cipher ◽  
Statistical Tests ◽  
Basic Form ◽  
Good Resistance ◽  
Image Pixels ◽  
Digital Image Encryption ◽  
Residual Intelligibility

This paper presents a novel image encryption scheme based on extended largescale randomization key-stream generator. The basic form of the key-stream generator is presented, and employed in digital image ciphering. The modification of the basic form also, presented, and gives encouraging results in image encryption as compared with classical non-linear stream cipher generators and the basic form. Pixel shuffling is performed via vertical and horizontal permutation. Shuffling is used to expand diffusion in the image and dissipate high correlation among image pixels the sequences generated from all presented generators are introduced to five well-known statistical tests of randomness to judge their randomness characteristic. The ciphered images are tested for their residual intelligibility subjectively. The measures applied to images ciphered by one of the classical key-stream cipher generators (Threshold generator) for the purpose of comparison with the presented key-stream algorithms. Experiments results show that the proposed algorithm achieves the image security. In order to evaluate performance, the proposed algorithm was measured through a series of tests. Experimental results illustrate that the proposed scheme shows a good resistance against brute-force and statistical attacks

An Improved Digital Image Encryption Algorithm Based on Sine Compound Chaotic System

2021 ◽  
pp. 676-687
Author(s):  
Jianchao Tang ◽  
Liyong Bao ◽  
Hongwei Ding ◽  
Zheng Guan ◽  
Min He
Keyword(s):  
Image Encryption ◽  
Chaotic System ◽  
Digital Image ◽  
Encryption Algorithm ◽  
Digital Image Encryption ◽  
Image Encryption Algorithm
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