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  5. 2D Non-separable Linear Canonical Transform (2D-NS-LCT) based cryptography
 
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2D Non-separable Linear Canonical Transform (2D-NS-LCT) based cryptography

Author(s)
Zhao, Liang  
Muniraj, Inbarasan  
Healy, John J.  
Malallah, Ra'ed  
Cui, Xiao-Guang  
Ryle, James P.  
Uri
http://hdl.handle.net/10197/8720
Date Issued
2017-04-27
Date Available
2017-08-17T15:31:35Z
Abstract
The 2D non-separable linear canonical transform (2D-NS-LCT) can describe a variety of paraxial optical systems. Digital algorithms to numerically evaluate the 2D-NS-LCTs are not only important in modeling the light field propagations but also of interest in various signal processing based applications, for instance optical encryption. Therefore, in this paper, for the first time, a 2D-NS-LCT based optical Double-random-Phase-Encryption (DRPE) system is proposed which offers encrypting information in multiple degrees of freedom. Compared with the traditional systems, i.e. (i) Fourier transform (FT); (ii) Fresnel transform (FST); (iii) Fractional Fourier transform (FRT); and (iv) Linear Canonical transform (LCT), based DRPE systems, the proposed system is more secure and robust as it encrypts the data with more degrees of freedom with an augmented key-space.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Subjects

Personal sensing

ABCD transform

Optical security and ...

Numerical approximati...

Discrete optical sign...

Web versions
https://spie.org/conferences-and-exhibitions/optics-and-optoelectronics
Language
English
Status of Item
Peer reviewed
Conference Details
Optics and Optoelectronics, Prague, Czech Republic, 24-27 April 2017
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

598.49 KB

Format

Adobe PDF

Checksum (MD5)

0917b6399b4eafe4a22bc6bb10ab979c

Owning collection
Insight Research Collection
Mapped collections
Electrical and Electronic Engineering Research Collection•
Solar Energy Conversion (SEC) Cluster Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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