Image manipulation detection

Sevinç Bayram, Ismail Avcibaş, Bülent Sankur, Nasir Memon

Research output: Contribution to journalReview articlepeer-review


Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios.

Original languageEnglish (US)
Article number041102
JournalJournal of Electronic Imaging
Issue number4
StatePublished - Oct 2006

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering


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