Image Authentication Using Distributed Source Coding

• 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
• DOI: 10.1109/TIP.2011.2157515

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.