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Secure Image-authentication Schemes with Hidden Double Random-phase Encoding

Title
Secure Image-authentication Schemes with Hidden Double Random-phase Encoding
Author(s)
Yi, FaliuKim, YouhyunMoon, Inkyu
Issued Date
2018-11
Citation
IEEE Access, v.6, pp.70113 - 70121
Type
Article
Author Keywords
Information securitythree-dimensional information processingdouble random phase encodingdiscrete cosine transformation
Keywords
SPARSE REPRESENTATIONOPTICAL ENCRYPTIONINFORMATIONWATERMARKINGRESISTANCE
ISSN
2169-3536
Abstract
We present a new image-authentication algorithm based on binary-quantified double random-phase encoding (DRPE) and a discrete cosine transformation (DCT) domain watermarking scheme. The image is encrypted using a DRPE scheme, in which only the phase part of the encoded image is preserved. Then, this phase image is quantified to become a binary image by giving 0 to these phase values that are less than 0 and setting others to 1. Then, the quantified binary image is secretly inserted into a host image with a DCT-domain watermarking algorithm. During image authentication, the receiver gets the binary image from the watermarked image using an inverse DCT operation and codes 0 values as -pi and values of 1 as pi to create a phase image. Finally, the input image is decoded from the retrieved phase image based on a double random phase decryption technique and is further authenticated using a nonlinear cross-correlation method. The present image-authentication algorithm offers an additional layer of system security because the hidden binary image reveals no information that is from the original image. Moreover, the image decrypted from the retrieved phase image cannot be easily recognized with naked eyes. However, it can be successfully authenticated by nonlinear cross-correlation, even in the face of attacks including noise attacks, filtering attacks, partial occlusion attacks, or geometric transformation attacks to the watermarked image. Our simulation results demonstrated the capability of the proposed image-authentication technique.
URI
http://hdl.handle.net/20.500.11750/9459
DOI
10.1109/ACCESS.2018.2880730
Publisher
Institute of Electrical and Electronics Engineers Inc.
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 ETC 1. Journal Articles
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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