Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Distributed Grayscale Stereo Image Coding with Unsupervised Learning of Disparity
DCC '07 Proceedings of the 2007 Data Compression Conference
Didstributed source coding authentication of images with affine warping
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Compressive sensing-based image hashing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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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 to localize tampered regions in an image already deemed to be inauthentic. In both cases, authentication requires a Slepian-Wolf encoded image projection that is supplied to the decoder. We extend our scheme to authenticate images that have undergone contrast, brightness, and affine warping adjustment. Our approach incorporates an ExpectationMaximization algorithm into the Slepian-Wolf decoder. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic images from illegitimately modified versions, despite arbitrary contrast, brightness, and affine warping adjustment, using authentication data of less than 250 bytes per image.