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Cascaded Fresnel holographic image encryption scheme based on a constrained optimization algorithm and Henon map
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Indexed by:期刊论文

Date of Publication:2017-01-01

Journal:OPTICS AND LASERS IN ENGINEERING

Included Journals:SCIE、EI

Volume:88

Page Number:20-27

ISSN No.:0143-8166

Key Words:Image/video encryption; Chaotic phase masks; Henon map; Cascaded Fresnel transform; Digital holography

Abstract:We propose an image encryption scheme using chaotic phase masks and cascaded Fresnel transform holography based on a constrained optimization algorithm. In the proposed encryption scheme, the chaotic phase masks are generated by Henon map, and the initial conditions and parameters of Henon map serve as the main secret keys during the encryption and decryption process. With the help of multiple chaotic phase masks, the original image can be encrypted into the form of a hologram. The constrained optimization algorithm makes it possible to retrieve the original image from only single frame hologram. The use of chaotic phase masks makes the key management and transmission become very convenient. In addition, the geometric parameters of optical system serve as the additional keys, which can improve the security level of the proposed scheme. Comprehensive security analysis performed on the proposed encryption scheme demonstrates that the scheme has high resistance against various potential attacks. Moreover, the proposed encryption scheme can be used to encrypt video information. And simulations performed on a video in AVI format have also verified the feasibility of the scheme for video encryption. (C) 2016 Elsevier Ltd. All rights reserved.

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male

Alma Mater:Dalian University of Technology (DUT)

Degree:Doctoral Degree

School/Department:State Key Laboratory of Industrial Equipment for Structral Analysis, Department of Engineering Mechanics

Discipline:Solid Mechanics. Applied and Experimental Mechanics. Engineering Mechanics. Mechanical Manufacture and Automation. Vehicle Engineering. Aerospace Mechanics and Engineering. mechanics of manufacturing process

Business Address:Room 321, Department of Engineering Mechanics

Contact Information:Tel.: 86 0411-84708406 Email: leizk@dlut.edu.cn

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