graph transform
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2021 ◽  
Vol 13 (3) ◽  
pp. 59-82
Author(s):  
Liuqing Yang ◽  
Wei Meng ◽  
Xudong Zhao

In this paper, an angular graph Fourier transform (AGFT) is introduced to encrypt color images with their intrinsic structures. The graph Fourier transform (GFT) is extended to the AGFT and proven to have the desired properties of angular transform and graph transform. In the proposed encryption method, color images are encoded by DNA sequences and confused under the control of chaotic key streams firstly. Secondly, sparse decomposition based on the random walk is applied to scramble pixels spatially, and a series of sub-images are obtained. This step increases encryption efficiency. Finally, the intrinsic sub-image structure is reflected by graphs, and the signals on different subgraphs are transformed into different AGFT domains with particular angular parameters, which makes the proposed method relevant to the original image structure and enhances security. The experimental results demonstrate that the proposed algorithm can resist various potential attacks and achieve better performance than the state-of-the-art algorithms.


2020 ◽  
Vol 206 ◽  
pp. 104171 ◽  
Author(s):  
Jo Nie Sua ◽  
Si Yi Lim ◽  
Mulyadi Halim Yulius ◽  
Xingtong Su ◽  
Edward Kien Yee Yapp ◽  
...  

2020 ◽  
Vol 128 ◽  
pp. 248-253
Author(s):  
Angshul Majumdar
Keyword(s):  

2020 ◽  
Vol 29 ◽  
pp. 419-432 ◽  
Author(s):  
Giulia Fracastoro ◽  
Dorina Thanou ◽  
Pascal Frossard

Author(s):  
Giulia Fracastoro ◽  
Dorina Thanou ◽  
Pascal Frossard

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