High-security image encryption by multiplexing phase encoding in domains of dual optical transforms

• Autorzy: Li Zhihui , Gao Bin , Pan Xiaoou , Li Linlin , Wang Chenxuan , Zuo Weizhuo , Ji Yu , Liu Shutian , Liu Zhengjun

Identyfikatory

DOI

10.37190/oa230309

• Języki publikacji: EN

Abstrakty

EN

A novel optical image encryption is proposed based on multiplexing of the random phase encoding with shift and rotation operations in domains of two transforms, extended fractional Fourier transform (eFrFT) and Fresnel transform. The original image is subjected to eFrFT with the action of the random phase mask. The mask is shifted and rotated to enhance the security of this encryption method. The image obtained from eFrFT is entered into Fresnel diffraction by the use of the phase mask to obtain the final encrypted image. We plan for the phase keys to be multiplexed in order to decrease the amount of keys that need to be stored in an application. Here, the displacement, rotation angle, and wavelength in this system can be used as additional keys to improve the security and reliability of the encryption system. Numerical experiments are conducted to verify the effectiveness and security of the method. The findings demonstrate that the keys are sufficiently sensitive for high security.

Słowa kluczowe

EN

extended fractional Fourier transform; geometric operations; random phase encoding

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2023
• Tom: Vol. 53, nr 3
• Strony: 447--466
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Li Zhihui

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Gao Bin

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Pan Xiaoou

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Li Linlin

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Wang Chenxuan

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Zuo Weizhuo

• College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

autor

Ji Yu

• School of Physics, Harbin Institute of Technology, Harbin 150001, China

autor

Liu Shutian

• School of Physics, Harbin Institute of Technology, Harbin 150001, China

autor

Liu Zhengjun

• School of Physics, Harbin Institute of Technology, Harbin 150001, China

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