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Secure storage and retrieval schemes for multiple encrypted digital holograms with orthogonal phase encoding multiplexing

Title
Secure storage and retrieval schemes for multiple encrypted digital holograms with orthogonal phase encoding multiplexing
Author(s)
Kim, YouhyunSim, MinwooMoon, Inkyu
Issued Date
2019-08
Citation
Optics Express, v.27, no.16, pp.22147 - 22160
Type
Article
Keywords
OPTICAL-IMAGE ENCRYPTIONFOURIERTRANSFORMSUPERPOSITIONINFORMATIONPRINCIPLECONTRAST
ISSN
1094-4087
Abstract
Recent developments in 3D computational optical imaging such as digital holographic microscopy has ushered in a new era for biological research. Therefore, efficient and secure storage and retrieval of digital holograms is a challenging task for future cloud computing services. In this study, we propose a novel scheme to securely store and retrieve multiple encrypted digital holograms by using phase encoding multiplexing. In the proposed schemes, an encrypted hologram can only be accessed using a binary phase mask, which is the key to retrieve the image. In addition, it is possible to independently store, retrieve, and manage the encrypted digital holograms without affecting other groups of the encrypted holograms multiplexed using different sets of binary phase masks, due to the orthogonality properties of the Hadamard matrices with high autocorrelation and low cross-correlation. The desired encrypted holograms may also be searched for, removed, and added independently of other groups of the encrypted holograms. More and more 3D images or digital holograms can be securely and efficiently stored, retrieved, and managed. © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
URI
http://hdl.handle.net/20.500.11750/10493
DOI
10.1364/OE.27.022147
Publisher
Optical Society of America
Related Researcher
  • 문인규 Moon, Inkyu
  • Research Interests 지능형 영상시스템; AI기반 영상분석; AI기반 암호시스템; Intelligent Imaging Systems; AI-based Image Analysis; AI-based Cryptosystems & Cryptanalysis
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Appears in Collections:
Department of Robotics and Mechatronics Engineering Robotics Engineering Research Center 1. Journal Articles
Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 1. Journal Articles

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