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".