UPDATE (01/2019): We have now added a new Noise-based algorithm in the MATLAB toolbox (NOI5). Make sure to properly cite the original paper if you use it (see the corresponding README file).

UPDATE (07/2018): We have now added our novel CAGI tampering detection algorithm in both Matlab and Java. It is based on JPEG block grid inconsistencies, but also features significant post-processing to improve result quality. Feel free to try it out! You will find citation information in the README file in the coresponding Matlab folder.

This is an integrated framework for image forensic analysis. It includes a Java webservice, including seven splicing detection algorithm implementations, plus additional forensic tools, located in the subdirectory java_service and a Matlab algorithm evaluation framework, including implementations of a large number of splicing detection algorithms, located in the subdirectory matlab_toolbox. An demo providing online implementations of many of these algorithms can be found here: Online demo.

Please cite the following paper in your publications if you use the Java implementations:

@inproceedings{zamp16,
  author = "Markos Zampoglou and Symeon Papadopoulos and Yiannis Kompatsiaris and Ruben Bouwmeester and Jochen Spangenberg",
  booktitle = "Social Media In the NewsRoom, {#SMNews16@CWSM}, Tenth International AAAI Conference on Web and Social Media workshops",
  title = "Web and Social Media Image Forensics for News Professionals",
  year = "2016",
}

If you use the Matlab implementations, use the following citation:

@article{zampAcc,
  author = "Markos Zampoglou and Symeon Papadopoulos and Yiannis Kompatsiaris",
  title = "A Large-Scale Evaluation of Splicing Localization Algorithms for Web Images",
  journal = "Multimedia Tools and Applications",
  doi = "10.1007/s11042-016-3795-2"
  pages= "Accepted for publication",
}

In either case, you must also cite the original algorithm publication. The README file within each Matlab algorithm subfolder contains the corresponding citation.

Contact Markos Zampoglou markzampoglou@iti.gr for any further information.