Image Scrambling Encryption by Mix Fan Transform matrixes technology

2012 ◽  
Author(s):  
Min Liu ◽  
Xian Zhu ◽  
Jing Fan
Keyword(s):  
Image Scrambling ◽  
Scrambling Encryption

scholarly journals Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits

2017 ◽  
Vol 24 (3) ◽  
pp. 64-71 ◽  
Author(s):  
Chengqing Li ◽  
Dongdong Lin ◽  
Jinhu Lu
Keyword(s):  
Encryption Algorithm ◽  
Image Scrambling ◽  
Scrambling Encryption

scholarly journals The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3430 ◽  
Author(s):  
Jie Dong ◽  
Guowei Wu ◽  
Tingting Yang ◽  
Yangyang Li
Keyword(s):  
Image Transmission ◽  
Encryption Algorithm ◽  
Data Matrix ◽  
Image Scrambling ◽  
Image Information ◽  
Aerial Vehicle ◽  
Important Means ◽  
Modern Warfare ◽  
Scrambling Encryption ◽  
Wireless Image Transmission

With the deepening of modern military reforms, information has become the key to winning modern warfare. The use of unmanned aerial vehicle (UAV) to capture image information has become an important means of reconnaissance in modern warfare and plays an irreplaceable role. The image information usually uses a wireless image transmission system, since image information is intercepted or stolen easily during the information transmission, encrypting an image is a common method for ensuring image security. However, traditional encryption algorithms have some deficiencies in terms of efficiency and security. In order to overcome these shortcomings, a new algorithm is proposed in this paper-an improved image scrambling encryption algorithm based on Fibonacci-p coding. The first new idea of the algorithm is to separate the positive and negative signs and data of the scrambled DCT coefficients, then form the symbol matrix and the data matrix respectively, perform the scrambling encryption operation on the symbol matrix. The second new idea is to encrypt the color RGB image by converting the R, G, and B colors into Y, Cb, and Cr, and converting the normal image operation into operations on Y, Cb, and Cr, thereby implementing the encryption operation. The comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

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