Authenticating cropped and resized images using distributed source coding and expectation maximization

Yao-Chung Lin; David Varodayan; Bernd Girod

doi:10.1117/12.805538

4 February 2009 Authenticating cropped and resized images using distributed source coding and expectation maximization

Yao-Chung Lin, David Varodayan, Bernd Girod

Proceedings Volume 7254, Media Forensics and Security; 725412 (2009) https://doi.org/10.1117/12.805538
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Media authentication is important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of a media file might exist. Our previous work applied distributed source coding not only to distinguish the legitimate diversity of encoded images from tampering but also localize the tampered regions in an image already deemed to be inauthentic. The authentication data supplied to the decoder consisted of a Slepian-Wolf encoded image projection. We extend our scheme to authenticate cropped and resized images using an Expectation Maximization algorithm. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic cropped and resized images from illegitimately modified versions using authentication data of less than 250 bytes.

Citation Download Citation

Yao-Chung Lin, David Varodayan, and Bernd Girod "Authenticating cropped and resized images using distributed source coding and expectation maximization", Proc. SPIE 7254, Media Forensics and Security, 725412 (4 February 2009); https://doi.org/10.1117/12.805538

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KEYWORDS

Expectation maximization algorithms

Data compression

Computer programming

Digital watermarking

Silicon

Bismuth

Image resolution

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