Cited 20 time in webofscience Cited 21 time in scopus

A Multispectral Photon-Counting Double Random Phase Encoding Scheme for Image Authentication

Title
A Multispectral Photon-Counting Double Random Phase Encoding Scheme for Image Authentication
Authors
Yi, FaliuMoon, InkyuLee, Yeon H.
DGIST Authors
Moon, Inkyu
Issue Date
2014-05
Citation
Sensors, 14(5), 8877-8894
Type
Article
Article Type
Article
Keywords
optical security and encryptionpattern recognitionmultispectral photon counting imagingdouble random phase encryptionnonlinear correlatorscolor imagesFRACTIONAL FOURIER-TRANSFORMOPTICAL MEMORY SYSTEMENCRYPTION ALGORITHMGYRATOR TRANSFORMFRESNEL DOMAINRECOGNITIONDEMOSAICKINGFINGERPRINTDECRYPTIONATTACKS
ISSN
1424-8220
Abstract
In this paper, we propose a new method for color image-based authentication that combines multispectral photon-counting imaging (MPCI) and double random phase encoding (DRPE) schemes. The sparsely distributed information from MPCI and the stationary white noise signal from DRPE make intruder attacks difficult. In this authentication method, the original multispectral RGB color image is down-sampled into a Bayer image. The three types of color samples (red, green and blue color) in the Bayer image are encrypted with DRPE and the amplitude part of the resulting image is photon counted. The corresponding phase information that has nonzero amplitude after photon counting is then kept for decryption. Experimental results show that the retrieved images from the proposed method do not visually resemble their original counterparts. Nevertheless, the original color image can be efficiently verified with statistical nonlinear correlations. Our experimental results also show that different interpolation algorithms applied to Bayer images result in different verification effects for multispectral RGB color images. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/6612
DOI
10.3390/s140508877
Publisher
MDPI AG
Related Researcher
  • Author Moon, Inkyu Intelligent Imaging and Vision Systems Laboratory
  • Research Interests
Files:
Collection:
Department of Robotics EngineeringIntelligent Imaging and Vision Systems Laboratory1. Journal Articles


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