Asymmetric Image Cryptosystem Based on Chaotic Zone Plate Phase Mask and Arnold Transform

2021 ◽  
pp. 45-51
Author(s):  
Mehak Khurana ◽  
Hukum Singh
1984 ◽  
Vol 45 (C2) ◽  
pp. C2-77-C2-81 ◽  
Author(s):  
G. Schmahl ◽  
D. Rudolph ◽  
B. Niemann
Keyword(s):  

2008 ◽  
Author(s):  
Yuankun Lin ◽  
Ahmad Harb ◽  
Daniel Rodriguez ◽  
Karen Lozano ◽  
Di Xu ◽  
...  

PIERS Online ◽  
2010 ◽  
Vol 6 (7) ◽  
pp. 655-658
Author(s):  
Carlos Gomez-Reino ◽  
Ana I. Gómez-Varela ◽  
Carmen Bao Varela ◽  
M. Teresa Flores-Arias
Keyword(s):  

Author(s):  
Aarushi Shrivastava ◽  
Janki Ballabh Sharma ◽  
Sunil Dutt Purohit

Objective: In the recent multimedia technology images play an integral role in communication. Here in this paper, we propose a new color image encryption method using FWT (Fractional Wavelet transform), double random phases and Arnold transform in HSV color domain. Methods: Firstly the image is changed into the HSV domain and the encoding is done using the FWT which is the combination of the fractional Fourier transform with wavelet transform and the two random phase masks are used in the double random phase encoding. In this one inverse DWT is taken at the end in order to obtain the encrypted image. To scramble the matrices the Arnold transform is used with different iterative values. The fractional order of FRFT, the wavelet family and the iterative numbers of Arnold transform are used as various secret keys in order to enhance the level of security of the proposed method. Results: The performance of the scheme is analyzed through its PSNR and SSIM values, key space, entropy, statistical analysis which demonstrates its effectiveness and feasibility of the proposed technique. Stimulation result verifies its robustness in comparison to nearby schemes. Conclusion: This method develops the better security, enlarged and sensitive key space with improved PSNR and SSIM. FWT reflecting time frequency information adds on to its flexibility with additional variables and making it more suitable for secure transmission.


2021 ◽  
pp. 127031
Author(s):  
Chengfei Guo ◽  
Shaowei Jiang ◽  
Pengming Song ◽  
Zichao Bian ◽  
Tianbo Wang ◽  
...  
Keyword(s):  

Author(s):  
Daniel Jandura ◽  
Dusan Pudis ◽  
Tomas Mizera ◽  
Marek Vevericik ◽  
Peter Gaso

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