Image Authentication Using Distributed Source Coding

We present a novel approach using distributed source coding for image authentication. The key idea is to provide a Slepian-Wolf encoded quantized image projection as authentication data. This version can be correctly decoded with the help of an authentic image as side information. Distributed source...

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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 21; no. 1; pp. 273 - 283
Main Authors: Yao-Chung Lin, Varodayan, David, Girod, Bernd
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.01.2012
Institute of Electrical and Electronics Engineers
Subjects:
Algorithms
Applied sciences
Authentication
Brightness
Coding, codes
Cryptography
Decoding
Distributed source coding
EM algorithm
Exact sciences and technology
image authentication
Image coding
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image reconstruction
Information Storage and Retrieval - methods
Information, signal and communications theory
Pattern Recognition, Automated - methods
Reproducibility of Results
Security Measures
Sensitivity and Specificity
Signal and communications theory
Signal processing
Source coding
sum-product algorithm
Telecommunications and information theory
Transform coding
image authentication
Image projection
sum-product algorithm
Source coding
Warping
Authentication
Distributed source signal
Robustness
Decoding
Localization
EM algorithm
Distributed source coding
ISSN:1057-7149, 1941-0042, 1941-0042
Online Access:Get full text
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Description
Summary:We present a novel approach using distributed source coding for image authentication. The key idea is to provide a Slepian-Wolf encoded quantized image projection as authentication data. This version can be correctly decoded with the help of an authentic image as side information. Distributed source coding provides the desired robustness against legitimate variations while detecting illegitimate modification. The decoder incorporating expectation maximization algorithms can authenticate images which have undergone contrast, brightness, and affine warping adjustments. Our authentication system also offers tampering localization by using the sum-product algorithm.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2011.2157515