Optical image encryption in the fractional Hartley domain, using Arnold transform and singular value decomposition

2017 ◽  
Author(s):  
Phool Singh ◽  
A. K. Yadav ◽  
Kehar Singh ◽  
Indu Saini
Keyword(s):  
Singular Value Decomposition ◽  
Image Encryption ◽  
Singular Value ◽  
Optical Image ◽  
Arnold Transform ◽  
Value Decomposition ◽  
Optical Image Encryption

Optical image encryption based on biometric keys and singular value decomposition

2020 ◽  
Vol 59 (8) ◽  
pp. 2422 ◽  
Author(s):  
Shan Tao ◽  
Chen Tang ◽  
Yuxin Shen ◽  
Zhenkun Lei
Keyword(s):  
Singular Value Decomposition ◽  
Image Encryption ◽  
Singular Value ◽  
Optical Image ◽  
Value Decomposition ◽  
Optical Image Encryption

scholarly journals A Secure Asymmetric Optical Image Encryption Based on Phase Truncation and Singular Value Decomposition in Linear Canonical Transform Domain

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Anshula Sangwan ◽  
Hukum Singh
Keyword(s):  
Singular Value Decomposition ◽  
Image Encryption ◽  
Singular Value ◽  
Plain Text ◽  
Key Space ◽  
Cryptographic System ◽  
Value Decomposition ◽  
Estimated Error ◽  
Optical Image Encryption ◽  
Phase Truncation

A new asymmetric optical double image encryption algorithm is proposed, which combines phase truncation and singular value decomposition. The plain text is encrypted with two-stage phase keys to obtain a uniformly distributed cipher text and two new decryption keys. These keys are generated during the encryption process and are different from encryption keys. It realizes asymmetric encryption and improves the security of the system. The unscrambling keys in the encryption operation are mainly related to plain text. At the same time, the system is more resistant to selective plain text attacks; it also improves the sensitivity of decryption keys. With the application of phase truncation, the key space expanded and the security of the cryptographic system is enhanced. The efficacy of the system is calculated by evaluating the estimated error between the input and retrieved images. The proposed technique provides innumerable security keys and is robust against various potential attacks. Numerical simulations verify the effectiveness and security of the proposed technique.

Multi-image encryption based on QR code and singular value decomposition ghost imaging

2022 ◽  
Author(s):  
Miao Wang ◽  
Xiulun Yang ◽  
Xiangfeng Meng ◽  
Yurong Wang ◽  
Yongkai Yin ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Image Encryption ◽  
Singular Value ◽  
Qr Code ◽  
Ghost Imaging ◽  
Value Decomposition
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