Compressive-sensing-based double-image encryption algorithm combining double random phase encoding with Josephus traversing operation

• Autorzy: Jiang Hao , Nie Zhe , Zhou Nanrun , Zhang Wenquan

Identyfikatory

DOI

10.5277/oa190307

• Języki publikacji: EN

Abstrakty

EN

A double-image encryption scheme based on compressive sensing is designed by combining a double random phase encoding technique with Josephus traversing operation. Two original images are first compressed and encrypted by compressive sensing in the discrete wavelet domain and then connected into a complex image according to the order of the alternate rows. Moreover, the resulting image is re-encrypted into stationary white noise by a double random phase encoding technique. Lastly, Josephus traversing method is utilized to scramble the transformed image. The initial states of the Henon chaotic map are the secret keys of this double-image encryption algorithm, which can be used to control the construction of the measurement matrix in compressive sensing and generation of the random-phase mask in double random phase encoding. Simulation results show that the proposed double-image encryption algorithm is effective and secure.

Słowa kluczowe

EN

image encryption; compressive sensing; double random phase encoding; Josephus traversing

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2019
• Tom: Vol. 49, nr 3
• Strony: 445--459
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Jiang Hao

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
• School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong 518055, China

autor

Nie Zhe

• School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong 518055, China

autor

Zhou Nanrun

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China
• Shanghai Key Laboratory of Integrate Administration Technologies for Information Security, Shanghai Jiao Tong University, Shanghai 200240, China

autor

Zhang Wenquan

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).