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

Yao Chung Lin, David Varodayan, Bernd Girod

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationMedia Forensics and Security
StatePublished - 2009
Externally publishedYes
EventMedia Forensics and Security - San Jose, CA, United States
Duration: Jan 19 2009Jan 21 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherMedia Forensics and Security
Country/TerritoryUnited States
CitySan Jose, CA


  • Distributed source coding
  • Expectation Maximization
  • Image authentication

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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