lorecioni / ImageSplicingDetection

Illuminant inconsistencies for image splicing detection in forensics

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Illuminant maps analysis for image splicing detection

A illuminant inconsistencies-based method for detecting image splicing. Master thesis project on illuminant maps analysis.

Project structure

  • articles: a set of references
  • docs: the thesis documentations and reviews
  • dataset: the dataset folder containing evaluation images
  • source: the source code

References

  • Carvalho et al., "Illuminant-Based Transformed Spaces for Image Forensics"
  • Carvalho, Christian Riess, Elli Angelopoulou, Helio Pedrini, Anderson Rocha, "Exposing Digital Image Forgeries by Illumination Color Classification", IEEE Transactions on Information Forensics and Security, vol. 8, no. 7, pp. 1182-1194, July 2013.
  • Christian Riess and Elli Angelopoulou, "Scene Illumination as an Indicator of Image Manipulation", Information Hiding Conference, June 2010, pp. 66-80.
  • V. Schetinger et al., "Exploring Statistical Differences Between Illuminant Estimation Methods for Exposing Digital Forgeries".

About

Illuminant inconsistencies for image splicing detection in forensics


Languages

Language:C 52.6%Language:C++ 28.7%Language:Python 10.2%Language:MATLAB 5.6%Language:CMake 1.6%Language:Makefile 1.3%