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Interference-based multiple-image encryption using binary phase masks

Title
Interference-based multiple-image encryption using binary phase masks
Author(s)
Kim, You HyunSong, Jae HunMoon, In KyuLee, Yeon Ho
DGIST Authors
Kim, You HyunSong, Jae HunMoon, In KyuLee, Yeon Ho
Issued Date
2018-08
Type
Article
Article Type
Article
Author Keywords
Multiple-image encryptionInterferencePhase-encoded imageHadamard matrix
Keywords
COHERENT SUPERPOSITIONOPTICAL ENCRYPTIONMODULUS DECOMPOSITIONFOURIER DOMAINTRANSFORMPRINCIPLESECURITYSCHEMESYSTEM
ISSN
0143-8166
Abstract
We propose a new scheme to encrypt multiple images simultaneously using two-dimensional binary phase masks. Each of the original greyscale images is first decomposed into two pure phase-only images, which corresponds to the reverse process of an optical interference. Two phase-only images have random distributions of phases in the range from 0 to 2π and will serve as a secret image and a private key. Next, each pixel of the secret image is subdivided into four equal segments. Then, the four pixel-quadrants are separately phase encoded in accordance with the four elements of a row of a 4-order Hadamard matrix. By applying this procedure to other secret images, we obtain four phase-encoded images, which are then superimposed to yield the final encrypted image. We can successfully restore the four original images separately when the correct Hadamard matrix and the correct private key are used. We also show that the correlation coefficient (CC) is as low as 0.05 when the decryption is done by wrong Hadamard matrices and/or private keys. © 2018
URI
http://hdl.handle.net/20.500.11750/6246
DOI
10.1016/j.optlaseng.2018.01.012
Publisher
Elsevier BV
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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