ABSTRACT :
Nowadays it is extremely easy to tamper with
images and share them thanks to social media. Identifying the
transformation history is imperative to be able to trust these
images. We address this problem by using image phylogeny trees,
where the root is the image that has been less tampered with and
as every generation is obtained from the transformation of its
parents, the leaves are the most transformed images. Our method
for image phylogeny trees reconstruction is based on a binary
decision between two images using JPEG compression artifacts.
Experimental results show that when there is no missing image
data, the reconstruction is very accurate.